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Data Engineer with 4+ years in Azure Data Platform & ETL Development
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Assessing your cultural and operational fit
Results-driven Data Engineer with more than 3.11 years of experience. Interested in leveraging data engineering tools and technologies to drive insightful analytics and streamlined data processing. Passionate about building scalable data pipelines, ensuring data integrity, and contributing to data-driven decision-making processes. Looking to transition into a Data Engineer role to apply technical expertise and expand impact in big data and cloud-based solutions.
Maturi Venkata Subha Rao Engineering College
Bachelor of Technology · Mechanical Engineering
August 1, 2018 – June 30, 2021
Tata Consultancy Services
Associate Data Engineer
February 1, 2022 – Present
Hyderābād, Telangana, India
DNA Phase-2
July 1, 2024 – June 1, 2026
Developed ETL Pipelines using Azure Databricks, Azure Data Factory, Microsoft SQL Server. Used Azure Data Factory as an integration platform between different Azure Services with help of activities such as Lookup, Get Metadata, Databricks, and Dataflow. Processed billions of rows of data on a daily basis and used PYSpark to speed-up the processing and perform transformations using both PYSpark and SQL on the data.
Data Quality Dashboards
June 1, 2022 – February 1, 2024
Designed and implemented a centralized data storage layer using Azure Data Lake Storage Gen2 (ADLS Gen2), serving as the foundation for enterprise-wide data management and analytics. Developed Azure Data Factory (ADF) pipelines to orchestrate and automate data ingestion from various heterogeneous source systems (e.g., REST APIs, SQL databases, flat files, On-Premises) into ADLS Gen2, ensuring efficient, scalable, and secure data movement. Leveraged Azure Databricks for scalable data transformation, data cleansing, and aggregation using PYSpark and Spark SQL, enabling the preparation of structured, high-quality datasets aligned with business needs. Implemented data pipelines to deliver curated datasets into ADLS Gen2, enabling analytics, reporting, and downstream use in Power BI, Synapse, and ML workloads.
Microsoft Certified: Power Bi Data Analyst Associate
Microsoft
June 1, 2026 – Present
Microsoft Certified: Fabric Data Engineer Associate
Microsoft
June 1, 2026 – Present
Microsoft Certified: Azure Data Engineer Associate
Microsoft
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience across multiple projects within a large organization (Tata Consultancy Services) and their involvement in Agile squads suggest adaptability and a collaborative mindset. The breadth of skills in Azure, Spark, and SQL, combined with certifications, indicates a continuous learning attitude. Their focus on optimizing costs and improving efficiency aligns well with a performance-driven culture. The diverse project descriptions show a good understanding of end-to-end data engineering lifecycle.
Soft Skills & Operational Fit
The candidate demonstrates strong operational fit through their experience in Agile methodologies, contributing to sprint planning and SDLC phases. Their ability to analyze high-cost areas and implement optimization strategies (e.g., 20% reduction in Databricks costs) shows a proactive and cost-conscious approach. The 'Applause for Team Award' indicates good team collaboration skills.