Rahul Raj

Certified Data Engineer with 3 years of experience designing and deploying scalable ETL pipelines using PySpark, SQL and Databricks. Skilled in cloud-based data engineering with hands-on expertise in Azure services. Proven ability to deliver reliable, high-performance data solutions that support analytics and business intelligence initiatives.

Data Engineer - Cognizant Technology Solutions - Pune, India

(2023-04)

• Led migration from Oracle Exadata to Azure Data Lake, building a scalable foundation for near real-time analytics.
• Developed and maintained scalable Databricks pipelines for efficient ingestion and transformation of diverse file formats.
• Applied advanced Delta Lake optimizations resulting in a 30% query performance boost and reduced latency.
• Optimized and productionized 30+ Oracle Load Plans, ensuring smooth data delivery for critical analytics.
• Established end-to-end automation for code deployment, utilizing a CI/CD pipeline to transition Azure Databricks artifacts directly into GitHub.
• Resolved 30+ critical defects through dedicated debugging, directly leading to documented client appreciation and significantly improving overall satisfaction with system reliability.

Intern - Cognizant Technology Solutions - Mumbai, India

(2022-03 - 2022-10)

• Designed and implemented pipelines for 15+ subject areas, migrating data to AWS S3 and Snowflake to guarantee high data quality and system performance.
• Optimized Apache Spark jobs and Snowflake SQL queries, resolving 30+ critical defects and significantly reducing cloud compute costs through technical tuning.
• Automated CI/CD using GitHub Actions to deploy 100+ code changes from Azure Databricks, ensuring fast, seamless, and version-controlled releases.

B.Tech - Computer Engineering - Bharati Vidyapeeth Deemed University (2018 - 2022)