Akshay Petkar — Software Engineer

As a Data Engineer, I was primarily responsible for designing and implementing scalable ETL pipelines on Databricks, focusing on efficient data ingestion, transformation, and processing of large-scale datasets. My core responsibilities included building batch and streaming pipelines, implementing Delta Lake, managing data quality, and performing performance tuning to support analytics and reporting. A significant part of my role involved data platform migration—including the migration of ETL pipelines from legacy systems to Databricks Lakehouse architecture. I worked on restructuring data models, optimizing storage formats, and ensuring compatibility and performance in the new environment. I also handled data validation, backfilling historical data, and orchestrating workflows for smooth cutovers. I collaborated with cross-functional teams to gather requirements, define technical specs, and ensure delivery of reliable and scalable data solutions. While my focus was predominantly on data engineering, I also created lightweight dashboards for data validation and business UAT during migration phases.

Stackforce AI infers this person is a Data Engineering expert in SaaS environments focusing on ETL and data analytics.

Location: Pune, Maharashtra, India

Experience: 2 yrs 5 mos