Bala Sourvendra

Data Engineer with 3 years of experience building cloud-native, Azure-based data platforms. Specializes in scalable ETL/ELT data pipelines using Azure Data Factory, Databricks (Apache Spark / PySpark), and Azure Synapse Analytics. Expertise in lakehouse architecture, dimensional data modeling (Kimball), data governance, performance optimization, and CI/CD-driven deployments in the Banking and Finance domain.

Data Engineer - LTIMindtree - Mumbai, India

(2022-09 - 2025-07)

• Reduced client approval and business flow processing time by up to 87% by designing and deploying end-to-end ETL/ELT data engineering solutions on Azure cloud infrastructure.
• Developed and maintained scalable data pipelines using Azure Data Factory (ADF) and Databricks (PySpark / Apache Spark), ingesting and processing 5–21 GB of structured and semi-structured data daily.
• Optimized Azure Synapse Analytics data warehouse through query tuning, indexing strategies, and materialized views; enforced security best practices to safeguard data privacy of 100 million users.
• Diagnosed and resolved data skew issues using broadcast joins and salting in PySpark, and applied temp tables and materialized views in Synapse, reducing pipeline runtime by 10–17%.
• Built automated monitoring and alerting for pipeline activities and data quality metrics, enabling proactive stakeholder notifications and cutting average developer resolution time by 11 minutes.
• Enforced data masking and encryption on sensitive PII fields (e.g., PAN numbers) and maintained data lineage, ACID transaction logs, versioning, and time travel in Delta Lake lakehouse.
• Designed Kimball dimensional data models (facts and dimensions) with SCDs; integrated Azure Repos for versioning and Azure DevOps CI/CD for automated deployment across environments.

Quality Engineering and Assurance (Intern) - Cognizant - Kolkata, India

(2022-01 - 2022-05)

• Trained in functional and automation testing methodologies; designed and implemented Selenium test suites with Java on a real-world enterprise project.
• Completed paid internship with hands-on exposure to enterprise QA processes; received a full-time employment offer upon completion.

Master of Technology - Blockchain and Big Data (Executive M.Tech) - Indian Institute of Technology (IIT), Patna (2025-12)

Bachelor of Technology - Applied Electronics and Instrumentation Engineering - Netaji Subhash Engineering College, Kolkata (2018-07 - 2022-06)