Abhijeet Potdar

I’m a results-driven Data Engineer with 3.8+ years of experience designing and automating cloud-based ETL pipelines using Azure Databricks, PySpark, and ADLS. I’ve delivered measurable impact by reducing manual onboarding effort by 75%, accelerating delivery cycles by 50%, and sustaining 100% SLA compliance across production systems.

I bring dual expertise in modern cloud-native engineering and legacy ETL (Informatica PowerCenter), giving me full ownership of pipeline architecture, development, and monitoring. At Atos Syntel, I built end-to-end ETL pipelines on Azure Databricks, implemented PySpark DataFrame transformations for data cleansing and schema standardization, and supported analytics teams with reliable large-scale processing.

To keep pipelines resilient, I deployed real-time monitoring dashboards in Sumo Logic with anomaly detection, enabling proactive alerting before downstream impact. Before that, I designed ETL workflows in Informatica PowerCenter, improving data processing efficiency by 30%, enforcing code quality through multi-stage unit testing and structured code reviews, and standardizing scheduling and parameterization across multi-environment deployments.