Srikanth Mandava

Results-driven Data Engineer with 4+ years of experience designing and optimizing scalable data pipelines on Azure Cloud and Databricks. Expertise in cloud data migration, data modernization, and metadata-driven automation frameworks, including Unity Catalog, Delta Lake, and ETL/ELT pipeline architecture. Reduced pipeline execution time by up to 90% and validation effort by over 70% through reusable, scalable engineering frameworks.

Data Engineer - Emids Technologies - Bangalore, India

(2022-02)

Data Engineer - Tableau Data Sources Migration - Emids Technologies - Bangalore, India

(2026-04)

• Migrated complex Tableau custom SQL queries from Azure Synapse Analytics (SSMS-based) to Databricks Unity Catalog, ensuring uninterrupted reporting continuity.
• Performed source-to-target validation across migrated datasets and built an automation framework that accepts config files mapping Synapse reference tables to Databricks-equivalent tables.
• Developed a Databricks notebook-based validation engine performing schema validation, column case-sensitivity checks, data aggregation comparison, row-level sampling, and null/mismatch detection.
• Generated HTML-based validation reports to rapidly surface discrepancies and improve team productivity.
• Improved migration accuracy and reduced validation time by over 70% through end-to-end automation.

Data Engineer - Enterprise Event-Driven E-Commerce Data Platform - Emids Technologies - Bangalore, India

(2022-02)

• Designed and developed a metadata-driven data ingestion framework in Azure Databricks to process multiple e-commerce data sources using a single generic ingestion pipeline.
• Implemented Medallion Architecture (Bronze, Silver, Gold) with Unity Catalog and Delta Lake for scalable data processing and governance.
• Built a configuration-driven ingestion framework using metadata tables and centralized schema registry, eliminating duplicate ingestion code for multiple source systems.
• Developed reusable PySpark components for schema enforcement, audit column generation, and dynamic source-to-target mapping.

Data Engineer - Data Modernization Project - Emids Technologies - Bangalore, India

(2022-02)

• Migrated legacy Synapse-based tables and views into Databricks Unity Catalog and redesigned Gold Layer architecture to source fully from Databricks instead of Synapse.
• Performed SQL refactoring and query performance optimization, validating data consistency across legacy and modernized systems to support downstream reporting applications.

B.Tech - Electronics and Communication Engineering - Visvodaya Engineering College