SELECT * FROM expertise WHERE passion = 'data'
Abhishek
Srivastava
Building the data backbone of the enterprise —
turning raw, scattered sources into clean, governed,
analytics-ready data at scale.
11+
Years Experience
5×
Certifications
4+
Companies
02. Work History
Experience
-- 11 years of building data platforms that actually work
Azure Data Engineer
Building the data backbone of an enterprise — turning raw, scattered sources into clean, governed, analytics-ready data at scale. Driving platform maturity through automation, observability, and AI-powered querying while bridging the gap between business needs and scalable cloud architecture.
Senior Associate — Projects
Laying the foundation — migrating legacy ETL systems into Azure, building reliable pipelines and transformation workflows that turned fragmented on-prem data into structured, cloud-ready assets powering business reporting and decisions.
Senior Associate — Projects
Laying the foundation — migrating legacy ETL systems into Azure, building reliable pipelines and transformation workflows that turned fragmented on-prem data into structured, cloud-ready assets powering business reporting and decisions.
Lead Engineer — Database Administration
Keeping mission-critical SQL Server infrastructure rock-solid — designing high availability, bulletproof backup strategies, and automated operations while squeezing every bit of performance out of complex queries and ETL pipelines.
Senior Systems Engineer
Building the fundamentals — optimizing SSIS pipelines, partitioning large-scale fact tables, and tuning SQL Server workloads to handle growing data demands reliably and efficiently.
03. Technical Stack
Skills
-- tools I use to move, transform and serve data at scale
Cloud & Platform
Azure Databricks
Microsoft Fabric
Azure Data Factory
Azure Synapse
ADLS Gen2
Delta Lake
OneLake
Languages & Querying
PySpark
Python
SQL
T-SQL
PowerShell
Architecture & Design
Medallion Architecture
Lakehouse Design
ETL/ELT
Data Modeling
Incremental Loading
Analytics & Reporting
Power BI
Semantic Models
DAX
Databricks SQL
DevOps & Observability
Git
CI/CD
Custom Logging
Data Quality
SLA Monitoring
AI & Emerging
LLMs
RAG Pipelines
MS Graph API
NL Querying
04. Credentials
Certifications
-- verified expertise across Azure and Databricks ecosystems
Databricks Certified Data Engineer Professional
Databricks
Databricks Certified Data Engineer Associate
Databricks
Microsoft Certified: Azure Data Engineer Associate
Microsoft
Microsoft Certified: Azure Fundamentals
Microsoft
Academy Accreditation — Databricks Lakehouse Fundamentals
Databricks
05. Academic Background
Education
-- where it all started
Kalinga Institute of Industrial Technology
Bachelor of Technology — Computer Science
Studied core computer science principles covering algorithms, software engineering, and system architecture — building the technical foundation that drives every data platform decision today.