Vivek Shah
@vivek_shah
Senior Data Engineer specializing in Azure Databricks, scalable ELT pipelines and cost optimization.
What I'm looking for
I am a Senior Data Engineer with 7+ years of experience focused on Azure Databricks, Azure Data Factory, and cloud data engineering. I build scalable ELT/ETL pipelines and optimize Spark performance to deliver reliable, high-performance data platforms.
At Nokia, I led an enterprise-wide migration to Databricks Unity Catalog and implemented role-based access control across workspaces, improving compliance and audit readiness. I architected Delta Lake lakehouse solutions with medallion patterns and engineered SQL Warehouse infrastructure to accelerate analytics and reporting.
I drive cost and performance improvements through cluster optimization, auto-scaling, memory tuning, partition strategies, and CI/CD automation using Azure DevOps and Git. My work has reduced infrastructure and cloud spend through proactive pausing, reserved capacity planning, and compute optimizations.
I have a track record of large-scale data onboarding, legacy migrations (IBM Netezza to Databricks), implementing SCD Type 2, CDC, and building reusable PySpark libraries and data validation frameworks. I mentor teams, establish best practices, and focus on delivering production-grade, observable data pipelines.
Experience
Work history, roles, and key accomplishments
Senior Data Engineer
Nokia
Mar 2022 - Present (3 years 10 months)
Led enterprise migration to Databricks Unity Catalog and implemented Delta Lake medallion architecture, improving governance and analytics performance while reducing compute and infrastructure costs by ~25%.
Data Engineer
Fragma Data Systems
Jul 2021 - Mar 2022 (8 months)
Orchestrated Netezza-to-Databricks migration and built ELT pipelines with PySpark and Delta tables enabling incremental loads and SCD Type 2 history for time-series analytics.
Software Engineer II
MAQ Software
May 2018 - Jul 2021 (3 years 2 months)
Developed end-to-end analytics solutions using Azure Data Factory, Databricks, SQL Server and Power BI, migrated legacy ETL to cloud and optimized analytical queries reducing execution time by 20-40%.
Education
Degrees, certifications, and relevant coursework
V.V.P. Engineering College
Bachelor of Engineering, Information Technology
Grade: CGPA: 8.03
Bachelor of Engineering in Information Technology from V.V.P. Engineering College under Gujarat Technological University, graduated June 2017 with a CGPA of 8.03.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
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