Abhishek Saxena

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18+ years in Data & Technology

Abhishek Saxena

Data-Driven Career Coach & Technology Mentor

Empowering the next generation of data professionals to transform careers into impactful leadership journeys

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About Me

Product Owner & Manager | Senior Data Specialist | Data & Solution Architect

Abhishek is a Data-Driven Career Coach & Technology Mentor with approximately 2 decades of IT experience spanning over Data Science, Artificial Intelligence, ETL Architecture, Data Engineering, and Enterprise Business Intelligence Solutions. His professional journey has been dedicated to transforming data into strategic value — from analysis, design, development, and implementation to maintenance and support of large-scale Data Integration, Data Warehouse (EDW), and Business Intelligence (BI) solutions across Windows and Unix platforms.

Having worked across the full spectrum of data-driven ecosystems — including Operational Data Stores (ODS), Data Warehouses (DW), Data Marts (DM), ETL, OLAP, and ROLAP — Abhishek combines deep technical expertise with a human-centered leadership approach.

Beyond technology, Abhishek’s passion lies in mentoring and influencing professionals to transition from building their careers to leading with impact. Abhishek coaches individuals and teams to develop data-informed decision-making, strategic thinking, and AI-era leadership skills that stand out in today’s competitive landscape.

18+ Years Experience

Deep expertise in Data Science, AI, ETL Architecture, and BI Solutions

Mentorship Focused

Dedicated to empowering professionals with data-informed decision-making skills

Strategic Leadership

Combining technical expertise with human-centered leadership approach

Career Acceleration

Helping professionals transition from building careers to leading with impact

Building Your Brand

Expert guidance on establishing strong personal brands on LinkedIn, YouTube, and Instagram

Speaker at Public Meetups

Regular speaker at meetups, colleges, and corporate events sharing industry insights

Expertise & Mentoring Services

Gain deep insights into cutting-edge data technologies through personalized mentorship

Data Architecture & Migration

Expert guidance on designing scalable data architectures and seamless migration strategies for modern data platforms.

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Python & Machine Learning for Data Science

Comprehensive mentoring on Python programming, ML algorithms, and practical data science implementations.

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Data Governance & Quality Frameworks

Build robust data governance strategies and quality frameworks to ensure data reliability and compliance.

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E-R & Dimensional Modeling for Databases

Master entity-relationship and dimensional modeling techniques for optimized database design and performance.

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ETL/ELT & Modern Data Stacks

Learn cutting-edge ETL/ELT practices and modern data stack technologies for efficient data pipeline development.

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Empowering Individuals & Communities with Technology

Build your personal brand, speak at events, and mentor professionals to accelerate their data careers.

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Driving Social Impact / Tech-for-Good

Use technology to create positive social impact through pro-bono work, volunteering, and sustainable solutions.

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Technologies & Expertise

18+ years of hands-on experience with industry-leading tools and technologies

Abhishek Saxena

Senior Data Specialist & Technology Mentor

18+

Years of Experience

Databases

Oracle

PL/SQL

SQL Server

PostgreSQL

MongoDB

MySQL

Netezza

Cassandra

Redis

ETL/ELT Tools

Informatica PowerCenter

IBM DataStage

Informatica IICSExpert

Databricks

Microsoft SSIS

Talend

Apache NiFi

Cloud Services

AWS

Azure

GCP

ADF (Azure Data Factory)

Snowflake

Dynatrace

Grafana

Argo Workflow

Big Data

Apache Spark

Hadoop

Hive

Kafka

Flink

Business Intelligence

Power BI

Tableau

Qlik Sense

Cognos

Looker

QlikView

Data Science & AI

Python

Jupyter Notebook

TensorFlow

Scikit-learn

TensorFlow

PyTorch

Pandas

NumPy

Data Quality & Governance

Informatica Data Quality (IDQ)

Collibra

Alation

DevOps & Tracking

Git

Docker

Kubernetes

Jenkins

Terraform

Airflow

Apache JIRA

Microsoft TFS

Jira Align

Programming Languages

SQL

Python

PL/SQL

Scala

R

Certifications & Accomplishments

Continuously learning and staying ahead of the curve in data technology

Generative AI

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Databricks Certified Data Engineer Associate

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Certified DevOps Architect

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Certified Informatica Cloud Professional (IICS)

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Certified Scrum Master (CSM) – Agile Methodology

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Big Data Fundamental Certified

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Certified DataStage Professional

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Data Science Professional Certification

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Python Programming Expert Certification

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Major Clients Served

Proud to have supported industry-leading organizations across the globe

AT&T – DirecTV

  • USA

UPS (United Parcel Service)

  • USA

Chubb Insurance

  • USA

Pearson Publication

  • UK

Axalta

  • USA

CIBC

  • Canada

XL – Catlin Insurance

  • USA

HDFC Bank

  • India

HMEL

  • India

Prudential

  • India

IKEA

  • Sweden

British Telecom

  • UK

What Mentees Say

Real stories from professionals whose careers have been transformed

“Abhishek’s mentorship transformed my career. His deep knowledge of data architecture and patient teaching style helped me transition from a junior developer to a confident data engineer.”

Sarah Johnson

Data Engineer at Tech Corp

“The Python and ML guidance I received was invaluable. Abhishek doesn’t just teach concepts – he shows you how to apply them in real-world scenarios. Highly recommended!”

Michael Chen

ML Engineer at StartupXYZ

“Working with Abhishek was a game-changer. His 18 years of experience shine through in every session. I’ve successfully implemented data governance frameworks at my company thanks to his mentorship.”

Priya Patel

Data Architect at Enterprise Solutions

Let's Connect

Hi, change-maker! I’m thrilled that you’re interested in collaborating! As someone deeply passionate about exploring the data world, career mentorship, and building a brand, I love creating content that inspires and empowers people to grow. 🚀

Let’s make this collaboration unforgettable! Fill out the form below so I can understand your goals and design something extraordinary that truly resonates with your audience.

Let’s join forces and make something extraordinary happen!

Get in Touch

Whether you’re looking for career guidance, technical mentorship, strategic consulting, or brand collaboration, I’m here to help you achieve your goals in the data field.

Email

tothedataboy@gmail.com

Location

Delaware, USA

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Abhishek Saxena

Data-Driven Career Coach & Technology Mentor with 18+ years of experience empowering professionals in data science, Artificial Intelligence, Data Analytics and Business Intelligence.

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© 2025 Abhishek Saxena. All rights reserved.

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Data Architecture & Migration

Comprehensive Data Architecture & Migration Services

What You'll Learn:

  • Enterprise Data Architecture Design: Learn to design robust, scalable data architectures that support business growth and adapt to changing requirements.
  • Cloud Migration Strategies: Master the art of migrating legacy systems to modern cloud platforms (AWS, Azure, GCP) with zero downtime.
  • Data Modeling: Understand dimensional modeling, star schemas, snowflake schemas, and data vault methodologies.
  • Data Lake & Data Warehouse Design: Build modern data lakes and warehouses using technologies like Snowflake, Redshift, and BigQuery.
  • Microservices Architecture: Design data architectures that support microservices and event-driven systems.
  • Data Security & Compliance: Implement security best practices, encryption, and compliance frameworks (GDPR, HIPAA).
  •  

Real-World Applications:

  • Migrate on-premise data warehouses to cloud platforms
  • Design multi-cloud data architectures
  • Implement data mesh and data fabric architectures
  • Create disaster recovery and business continuity plans
  • Optimize data storage and query performance

Duration:

8-12 weeks of intensive mentoring with hands-on projects

Prerequisites:

Basic understanding of databases and SQL. Experience with any programming language is a plus.

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Python & Machine Learning for Data Science

Python & Machine Learning Mastery Program

Python Fundamentals:

  • Core Python: Data structures, OOP, decorators, generators, and async programming
  • Data Manipulation: NumPy, Pandas, and data wrangling techniques
  • Visualization: Matplotlib, Seaborn, Plotly for compelling data storytelling
  • Database Connectivity: Working with SQL databases, MongoDB, and APIs

Machine Learning Curriculum:

  • Supervised Learning: Linear/Logistic Regression, Decision Trees, Random Forests, SVM, XGBoost
  • Unsupervised Learning: K-Means, Hierarchical Clustering, PCA, t-SNE
  • Deep Learning: Neural Networks, CNNs, RNNs, LSTMs using TensorFlow/PyTorch
  • Natural Language Processing: Text processing, sentiment analysis, transformers
  • Model Deployment: Flask, FastAPI, Docker, cloud deployment strategies
  • MLOps: Model versioning, monitoring, and CI/CD pipelines

Hands-On Projects:

  • Build end-to-end ML pipelines for real-world problems
  • Create predictive models for business forecasting
  • Develop recommendation systems
  • Implement computer vision applications
  • Deploy ML models to production

Duration:

12-16 weeks with weekly assignments and capstone project

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Data Governance & Quality Frameworks

Data Governance & Quality Framework Implementation

Data Governance Fundamentals:

  • Governance Framework Design: Establish organizational data governance structures and policies
  • Data Stewardship: Define roles, responsibilities, and accountability across teams
  • Data Cataloging: Implement metadata management and data discovery tools
  • Master Data Management: Create golden records and manage reference data
  • Data Lineage: Track data flow from source to consumption

Data Quality Management:

  • Quality Dimensions: Accuracy, completeness, consistency, timeliness, validity
  • Quality Metrics: Design KPIs and scorecards for data quality monitoring
  • Data Profiling: Analyze data patterns and identify anomalies
  • Automated Testing: Build data quality checks and validation rules
  • Issue Management: Create workflows for data quality issue resolution

Compliance & Security:

  • GDPR, CCPA, and HIPAA compliance implementation
  • Data privacy and anonymization techniques
  • Access control and data security policies
  • Audit trails and compliance reporting

Tools & Technologies:

Informatica, Collibra, Alation, Apache Atlas, Great Expectations

Duration:

6-10 weeks with framework implementation project

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E-R & Dimensional Modeling for Databases

Database Modeling Mastery: E-R & Dimensional Techniques

Entity-Relationship Modeling:

  • Conceptual Design: Identify entities, attributes, and relationships
  • Normalization: Master 1NF, 2NF, 3NF, BCNF for optimal database design
  • Denormalization: Strategic denormalization for performance optimization
  • Cardinality & Constraints: Define one-to-one, one-to-many, many-to-many relationships
  • Physical Design: Index strategies, partitioning, and storage optimization

Dimensional Modeling:

  • Star Schema Design: Build fact tables with dimension tables for analytical queries
  • Snowflake Schema: Normalize dimensions for complex hierarchies
  • Fact Table Design: Additive, semi-additive, and non-additive facts
  • Slowly Changing Dimensions: Type 1, 2, 3, and hybrid approaches
  • Conformed Dimensions: Create enterprise-wide consistent dimensions
  • Data Vault Methodology: Build flexible, auditable data warehouses

Advanced Topics:

  • Bridge tables for many-to-many relationships
  • Junk dimensions for flag attributes
  • Role-playing dimensions
  • Aggregate fact tables for performance
  • Real-time dimensional modeling

Practical Implementation:

  • Design data models for retail, healthcare, finance domains
  • Implement models in SQL Server, Oracle, PostgreSQL
  • Create dimensional models in Snowflake, BigQuery

Duration:

8-10 weeks with multiple modeling projects

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ETL/ELT & Modern Data Stacks

ETL/ELT & Modern Data Stack Expertise

Traditional ETL Mastery:

  • ETL Tools: Informatica PowerCenter, DataStage, SSIS, Talend
  • Data Extraction: Connect to databases, APIs, files, and streaming sources
  • Data Transformation: Cleansing, enrichment, aggregation, and business logic
  • Data Loading: Incremental loads, full loads, and CDC strategies
  • Error Handling: Build robust error handling and logging mechanisms
  • Performance Tuning: Optimize ETL jobs for speed and resource efficiency

Modern ELT Approach:

  • Cloud ETL/ELT: AWS Glue, Azure Data Factory, Google Dataflow
  • dbt (Data Build Tool): Transform data in the warehouse using SQL
  • Fivetran & Stitch: Automated data integration platforms
  • Airflow: Orchestrate complex data workflows
  • Real-time Processing: Kafka, Spark Streaming, Flink

Modern Data Stack Components:

  • Ingestion: Fivetran, Airbyte, Stitch
  • Storage: Snowflake, BigQuery, Redshift, Databricks
  • Transformation: dbt, Dataform
  • Orchestration: Airflow, Prefect, Dagster
  • BI & Analytics: Looker, Tableau, Power BI, Mode
  • Reverse ETL: Census, Hightouch for operational analytics

Best Practices:

  • Design idempotent data pipelines
  • Implement data quality checks at each stage
  • Version control for ETL code (Git)
  • Monitoring and alerting for pipeline failures
  • Cost optimization strategies

Hands-On Projects:

  • Build end-to-end data pipelines from multiple sources
  • Implement CDC using Debezium
  • Create dbt models for data transformation
  • Set up Airflow DAGs for orchestration
  • Design real-time streaming pipelines

Duration:

0-14 weeks with real-world pipeline projects

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Empowering Individuals & Communities with Technology

Empowering Individuals & Communities with Technology

Building Your Brand on Social Media:

  • LinkedIn, YouTube, Instagram Mastery: Learn to create engaging content that builds your professional brand
  • Share Real-World Project Lessons: Transform your work experience into valuable content
  • Content Strategy: Talk about data careers, productivity, leadership, and tech trends
  • Audience Engagement: Build a community around your expertise
  • Consistency & Growth: Develop sustainable content creation habits

Speaking Opportunities:

  • Speaker at Meetups, Colleges, and Corporate Events
  • How to Future-Proof Your Tech Career
  • From Data to Decisions: Building Value from Analytics
  • Mindset for Continuous Learning in IT
  • Talk preparation, storytelling, and stage presence

Career Growth Mentoring:

  • Career Path Planning: Developer → Lead → Architect → Manager transition strategies
  • Resume & LinkedIn Optimization: Stand out for data/AI professional roles
  • Interview Preparation: Technical + Behavioral interview mastery
  • Salary Negotiation: Get the compensation you deserve
  • 1-1 Mentoring Packages: Personalized guidance to upskill and switch careers

Structured Learning Paths:

  • Beginner → Learn fundamentals and build foundation
  • Intermediate → Work on real projects and develop expertise
  • Advanced → Master advanced concepts and lead teams

What You'll Achieve:

  • Build a strong personal brand that attracts opportunities
  • Become a confident speaker and thought leader
  • Accelerate your career progression
  • Help others grow through mentorship
  • Create multiple income streams through content and speaking
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Driving Social Impact / Tech-for-Good

Driving Social Impact Through Technology

Tech Solutions for Social Good:

  • Data & AI for Non-Profits: Provide data solutions for NGOs and social enterprises
  • Impact Analytics: Help organizations measure and maximize their social impact
  • Grant Writing Support: Use data to strengthen funding proposals
  • Operational Efficiency: Streamline processes for resource-constrained organizations
  • Pro-Bono Consulting: Strategic technology guidance for social good organizations
  •  

Volunteer & Education Work:

  • STEM Education: Teach coding, data science, and technology skills
  • Digital Literacy Programs: Bridge the digital divide in underserved communities
  • Mentoring Programs: Guide students and career changers from diverse backgrounds
  • Scholarship Support: Help aspiring tech professionals access quality education
  • Career Guidance: Support underrepresented groups in tech careers

Sustainability & Inclusion Projects:

  • Environmental Sustainability: Data solutions for climate action and resource optimization
  • Accessibility Technology: Build inclusive solutions for people with disabilities
  • Diversity & Inclusion: Data-driven approaches to workplace equity
  • Community Health: Technology for healthcare access and wellness programs
  • Economic Empowerment: Skills training for marginalized communities

Open Source Contribution:

  • Contribute to open-source data and AI projects
  • Build tools that benefit the broader community
  • Share knowledge through documentation and tutorials
  • Collaborate on projects addressing social challenges

Impact Areas:

  • Education & Skill Development
  • Healthcare & Wellness
  • Environmental Sustainability
  • Social Justice & Equity
  • Community Development

How to Get Involved:

Whether you’re an organization seeking tech support or an individual wanting to use your skills for good, let’s connect to create meaningful social impact together.

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Generative AI

Issued By

Leading AI Platform applications.

About This Certification

Comprehensive certification covering Large Language Models (LLMs), prompt engineering, GPT models, and generative AI applications.

Key Benefits

  • Build AI-powered applications using GPT-4, Claude, and other LLMs
  • Master prompt engineering techniques for optimal results
  • Understand fine-tuning and RAG (Retrieval Augmented Generation)
  • Implement AI safety and ethical AI practices
  • Stay ahead in the rapidly evolving AI landscape

Skills Demonstrated

GPT Models

Prompt Engineering

LangChain

Vector Databases

AI Ethics

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Databricks Certified Data Engineer Associate

Issued By

Databricks

About This Certification

Official Databricks certification validating expertise in building data pipelines on the Lakehouse platform.

Key Benefits

  • Master unified data analytics platform (Lakehouse architecture)
  • Build production-grade ETL pipelines using Apache Spark
  • Implement Delta Lake for ACID transactions
  • Work with both batch and streaming data
  • Industry-recognized credential valued by Fortune 500 companies

Skills Demonstrated

Apache Spark

Delta Lake

PySpark

SQL

Data Engineering

Lakehouse

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Certified DevOps Architect

Issued By

DevOps Institute

About This Certification

Advanced certification demonstrating expertise in DevOps practices, CI/CD pipelines, and infrastructure automation

Key Benefits

  • Design and implement CI/CD pipelines for rapid deployment
  • Master Infrastructure as Code (IaC) with Terraform and CloudFormation
  • Implement containerization with Docker and Kubernetes
  • Automate testing, deployment, and monitoring processes
  • Bridge the gap between development and operations teams

Skills Demonstrated

CI/CD

Docker

Kubernetes

Terraform

Jenkins

GitOps

Monitoring

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Certified Informatica Cloud Professional (IICS)

Issued By

Informatica

About This Certification

Professional certification for Informatica Intelligent Cloud Services, demonstrating expertise in cloud data integration.

Key Benefits

  • Build cloud-native data integration solutions
  • Design complex ETL workflows for hybrid cloud environments
  • Implement data quality and governance in IICS
  • Master API integration and real-time data processing
  • High demand skill in enterprise data integration market

Skills Demonstrated

IICS

Cloud ETL

Data Integration

API Services

Data Quality

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Certified Scrum Master (CSM) – Agile Methodology

Issued By

Scrum Alliance

About This Certification

Industry-standard certification for Agile project management and Scrum framework implementation.

Key Benefits

  • Lead Agile teams and facilitate Scrum ceremonies
  • Remove impediments and improve team productivity
  • Coach teams on Agile best practices and continuous improvement
  • Manage stakeholder expectations and product backlogs
  • Increase project success rates with iterative development

Skills Demonstrated

Scrum Framework

Agile Methodologies

Sprint Planning

Team Facilitation

Stakeholder Management

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Big Data Fundamental Certified

Issued By

Big Data Institute

About This Certification

Foundation certification covering big data technologies, distributed computing, and data processing frameworks.

Key Benefits

  • Understand Hadoop ecosystem (HDFS, MapReduce, YARN)
  • Work with big data processing frameworks like Spark
  • Design scalable data architectures for large datasets
  • Implement NoSQL databases (MongoDB, Cassandra, HBase)
  • Build foundation for advanced big data career paths

Skills Demonstrated

Hadoop

Spark

HDFS

NoSQL

Distributed Computing

Data Processing

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Certified DataStage Professional

Issued By

IBM

About This Certification

Professional certification for IBM DataStage, validating expertise in enterprise ETL development.

Key Benefits

  • Design and develop complex ETL jobs for enterprise data warehouses
  • Optimize DataStage jobs for performance and scalability
  • Implement parallel processing and partitioning strategies
  • Master advanced transformations and data quality rules
  • High-value skill for Fortune 500 enterprise projects

Skills Demonstrated

IBM DataStage

ETL Development

Parallel Processing

Data Quality

Performance Tuning

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Data Science Professional Certification

Issued By

Leading Data Science Institute

About This Certification

Comprehensive certification covering the full data science lifecycle from data collection to model deployment.

Key Benefits

  • Master end-to-end data science project workflows
  • Build predictive models for business decision-making
  • Perform advanced statistical analysis and hypothesis testing
  • Create compelling data visualizations and dashboards
  • Communicate insights effectively to stakeholders
  • Work with real-world datasets across multiple industries

Skills Demonstrated

Statistical Analysis

Predictive Modeling

Data Visualization

Feature Engineering

A/B Testing

Business Analytics

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Big Data Fundamental Certified

Issued By

Python Software Foundation

About This Certification

Advanced Python certification demonstrating expertise in Python programming, data structures, and application development.

Key Benefits

  • Master Python fundamentals and advanced concepts
  • Build scalable applications using OOP and design patterns
  • Work with Python libraries for data science and web development
  • Implement efficient algorithms and data structures
  • Debug and optimize Python code for performance
  • Most in-demand programming skill across all industries

Skills Demonstrated

Python Core

OOP

Data Structures

Algorithms

Libraries & Frameworks

Code Optimization