Headline

Data Engineer at Tiger Analytics

About

Azure Data Engineer with 4+ years of experience building scalable, governed data platforms on Microsoft Azure. Strong expertise in ETL development using Azure Data Factory and Databricks (PySpark), data modeling, and optimizing performance, reliability and cost for production analytics systems.

Location

Hyderabad

AI stack

claude code

gemini

ChatGPT

Work experience

Data Engineer at Tiger Analytics, Jan 2026 - Present · 11 mos, Hyderabad, Telangana, India · Hybrid, 1. Led migration from Databricks Hive Metastore (HMS) to Unity Catalog (UC), refactoring notebooks and pipelines to comply with UC governance and optimize performance. 2. Redesigned data access using Row-Level Security (RLS) at market level, eliminating the need for duplicated market-specific tables. 3. Achieved an approximately 50% reduction in data storage by consolidating regional datasets into centralized UC-managed tables, resulting in lower storage costs and improved data maintainability.

Senior Software Engineer at Tiger Analytics, Mar 2024 - Dec 2025 · 1 yr 10 mos, Hyderabad, Telangana, India · Hybrid, 1. Designed and implemented a reusable data reconciliation framework to validate large-scale datasets across pipelines, supporting full, incremental, and sampling-based reconciliation strategies. 2. Automated reconciliation and data quality validations at scale within ETL pipelines, generating detailed reports for rapid root-cause analysis, improving validation accuracy by 30% and eliminating 60%+ of manual data verification effort in production systems. 3. Developed a framework by enabling dynamic data extraction from SQL databases using macro-driven Excel inputs and ingesting the data into databases by uploading the Excel via Swagger UI endpoint for business users. 4. Designed data ingestion architecture aligned with Highly Confidential data classifications, ensuring compliance with Infosec standards and secure handling of sensitive datasets.

Software Engineer at MAQ Software, Jun 2022 - Mar 2024 · 1 yr 10 mos, On-site, 1. Developed end-to-end ETL pipelines using Azure Data Factory to ingest data from multiple sources and transform data using Databricks (PySpark). 2. Revamped and migrated a legacy on-prem project to Azure, redesigning ETL workflows and optimizing transformations to achieve a 365% improvement in overall pipeline execution time. 3. Built highly parallelized Azure Data Factory pipelines to ingest data from 7+ heterogeneous sources concurrently, significantly improving ingestion throughput, fault tolerance, and end-to-end reliability. 4. Received a Spot Award for ETL optimizations resulting in a 30% reduction in data ingestion execution time. 5. Leveraged AI-assisted development tools to improve productivity, accelerate development cycles, and deliver high-quality features within aggressive timelines.

Associate Software Engineer at MAQ Software, Jan 2022 - May 2022 · 5 mos, Hyderabad, Telangana, India, 1.Orchestrated project workflows by converting requirements into user stories and tasks using Azure DevOps. 2. Developed and deployed data ingestion pipelines to Production using CI/CD pipelines. 3. Monitored and supported production pipeline runs to ensure data availability and accuracy.

Education

Bachelor of Technology - BTech, Computer Science, BML Munjal University

Intermediate, MPC, Narayana Junior College - India