Headline

Azure Data Engineer | ADF · Databricks · PySpark · Spark · SQL · Python | Building Scalable Data Pipelines & Cloud-Native Data Platforms on Azure

About

I enjoy building data systems that turn raw, scattered information into reliable insights that businesses can actually use. As an Azure Data Engineer at Accenture, I specialize in designing scalable ETL pipelines, implementing Medallion Architecture, and enabling data-driven decision-making across modern data platforms. Over the past two years, I've built and optimized end-to-end data solutions using Azure Data Factory, Azure Databricks, PySpark, SQL, Python, and ADLS Gen2, automating ingestion workflows that reduced manual intervention by around 30% and applying optimization strategies that improved query execution time by over 20%. What excites me most isn't just the technical complexity; it's building systems that are efficient, scalable, and something teams can genuinely rely on. Databricks and real-time streaming data are spaces I'd love to explore deeper. I'm always open to learning, collaborating, and connecting with fellow data engineers and enthusiasts. I'm currently open to new opportunities where I can keep growing, take on bigger challenges, and contribute meaningfully. Feel free to reach out!

Location

Hyderabad

AI stack

gemini

hugging face

langchain

openai

Work experience

Packaged App Development Associate (Data Engineer) at Accenture, Apr 2024 - Present · 2 yrs 3 mos, India, - Design and develop scalable ETL pipelines using Azure Data Factory and Azure Databricks to process large-scale data efficiently. - Build and optimize PySpark-based data transformations, improving performance and ensuring reliable data processing. - Contribute to data migration and modern data platform development on Azure, focusing on data quality, pipeline automation, and optimized data delivery.

Intern at Broadridge India, Nov 2022 - Jun 2023 · 8 mos, Hyderabad, Telangana, India, - Collaborated with senior data engineers to design and document database schemas aligned with DBMS best practices, ensuring data integrity and storage efficiency. - Gained hands-on exposure to cloud-based data engineering workflows, data lifecycle management, and ETL pipeline best practices on Azure.

Education

Bachelor of Technology - BTech, Computer Science, HITAM (Hyderabad Institute of Technology and Management)

Intermediate, MPC, Sri Chaitanya Junior College Alwal