Baishakhi Dutta

Data Engineer with 3+ years of experience at Cognizant building cloud-native data pipelines on Microsoft Azure. Specialized in Azure Data Factory (ADF), Azure Databricks, Apache Spark, and Delta Live Tables (DLT), with hands-on delivery of Medallion Architecture (Bronze-Silver-Gold) for large-scale, fault-tolerant data processing. Strong background in data modelling and warehousing across Snowflake and Azure Data Lake, advanced SQL, and Python (Pandas) for automated data validation.

Track record of measurable engineering impact: 99%+ pipeline reliability, 35% query performance improvement, 40% faster KPI delivery, and 30%+ reduction in manual validation effort.

Databricks Certified Data Engineer

Associate and Microsoft Azure Fundamentals (AZ-900) certified. Immediate joiner, seeking an Azure Data Engineer / Data Engineer role.

Programmer Analyst — Data Engineer / Data Analyst - Cognizant Technology Solutions - Pune, India

(2023-02)

• Designed and implemented end-to-end ETL pipelines using Azure Data Factory (ADF), automating KPI reporting for business stakeholders and cutting delivery time by 40%.
• Built and maintained production ADF pipelines with scheduling, monitoring, alerting, and error handling, sustaining 99%+ data pipeline reliability.
• Developed Delta Live Tables (DLT) pipelines in Azure Databricks to enable scalable, fault-tolerant transformations on large datasets.
• Implemented Medallion Architecture (Bronze, Silver, Gold layers) to ensure structured, high-quality, governed data processing.
• Performed end-to-end data modelling in Databricks and Snowflake, optimizing schemas for analytical and engineering workloads.
• Processed and optimized large-scale datasets using Spark and advanced SQL, improving query performance by 35%.
• Automated data validation workflows using Python (Pandas), reducing manual effort by 30%+ and improving data accuracy.
• Built interactive Power BI dashboards with DAX measures and drill-through reports on top of engineered data models, reducing manual reporting effort by 75%.
• Partnered with cross-functional stakeholders to translate business requirements into scalable data engineering solutions.
• Worked as part of the Databricks developer team on a Teradata-to-Databricks migration project, re-engineering legacy workloads onto Azure Databricks.
• Applied Medallion Architecture during the migration to restructure and curate data, delivering clean, business-ready datasets for the Power BI reporting team.

Programmer Analyst Trainee — Data Engineering / Data Analyst - Cognizant Technology Solutions - Pune, India

(2022-02 - 2023-02)

• Built ETL pipelines using Azure Data Factory and Databricks, supporting end-to-end data integration for reporting projects.
• Conducted data validation and quality checks, ensuring reporting accuracy and data integrity across multiple source systems.
• Automated reporting workflows using Python and SQL, cutting report execution time from 60 to 10 minutes (83% improvement).
• Supported data modelling and transformation processes, gaining hands-on experience with Snowflake and Azure Data Lake.

MBA - HR Analytics - Symbiosis University

B.Tech - Computer Science & Engineering - Institute of Engineering & Management

Diploma - Computer Science & Technology - Swami Vivekananda Institute of Science & Technology