Headline

Azure Data Engineer | Databricks | PySpark | SQL | Azure ADF | ADLS Gen2 | Medallion Architecture (Bronze/Silver/Gold) | Unity Catelog | ETL/ELT Pipelines

About

Turning raw data into reliable business decisions — at scale. I’m an Azure Data Engineer with 3+ years of experience building scalable, production-grade ETL/ELT pipelines using Azure Data Factory and Databricks. I work extensively with PySpark, Spark SQL, and Delta Lake to design modern data lakehouse solutions on ADLS Gen2. My focus is simple: build data systems that are not just functional, but fast, reliable, and ready for real business use. At Cognizant, I’ve engineered end-to-end data pipelines for enterprise billing systems, processing 50M+ records while improving performance by 25–30%. I’ve designed data quality frameworks to catch anomalies like missing or inconsistent data, reducing manual effort and increasing trust in reporting. My work also includes implementing secure data access (RBAC, Managed Identity, Unity Catalog) and building CI/CD-enabled pipelines using Azure DevOps in Agile environments. Now, I’m looking to contribute to high-impact data engineering teams where I can solve complex data challenges, optimize large-scale systems, and continue growing in cloud and big data technologies. I’m especially interested in roles that combine performance engineering, data quality, and scalable architecture.

Location

Satara

Work experience

Software Engineer at Cognizant, Jan 2025 - Nov 2025 · 11 mos, Pune District, • Built and enhanced scalable ETL/ELT pipelines using PySpark on Azure Databricks and Azure Data Factory, delivering reliable, analytics-ready data for enterprise billing systems. • Optimized PySpark and Spark SQL workloads using partitioning and query tuning, improving performance by 25–30% on datasets exceeding 50M+ records. • Implemented secure data access and governance using Azure Key Vault, Managed Identity, RBAC, ACLs, and Unity Catalog, ensuring compliance and controlled data usage. • Managed CI/CD pipeline deployments using Git and Azure DevOps, enabling automated, consistent releases within Agile sprint cycles.

Jr. Software Engineer at Cognizant, Apr 2023 - Dec 2024 · 1 yr 9 mos, Pune District, • Developed batch and incremental ETL pipelines using Azure Data Factory and Databricks, supporting large-scale billing and reporting workflows. • Designed and implemented data quality frameworks with validation checks (missing data, negative reads, outliers), improving data accuracy and reducing manual intervention. • Built metadata-driven ADF pipelines with triggers and monitoring, automating workflows and enhancing pipeline efficiency. • Worked with ADLS Gen2 and Delta Lake to support scalable data storage and lakehouse architecture.

Software Engineer Trainee at Cognizant, Apr 2022 - May 2023 · 1 yr 2 mos, Pune, Maharashtra, India

Education

Bachelor of Technology - BTech, Electronics Engineering, Karmaveer Bhaurao Patil College of Engineering and Polytechnic

Hsc, Science, Yashoda Technical campus, Faculty of Engineering, Wadhe