Venkata Praneeth Reddy Challa

Big Data Engineer

Hyderabad

Summary

Results-driven Big Data Engineer with over 5 years of experience in designing and implementing efficient ETL processes. Expertise in Azure Cloud, PySpark, Python, and SQL, complemented by a strong foundation in data architecture and analytics. Demonstrated ability to optimize data pipelines, significantly reducing processing times while enhancing business decision-making through actionable data-driven insights. Skilled in collaborating with cross-functional teams to deliver innovative, cost-effective solutions achieving up to 20% project cost savings.

Overview

years of professional experience

Languages

Work History

Senior Software Engineer

Tech Mahindra

04.2022 - Current

Built a multi-purpose data aggregation system using Azure Synapse, improving data processing efficiency by 15% for client analyses.
Migrated critical data to Azure Data Lake Storage Gen2, ensuring smooth integration with Azure Analytics services.
Fine-tuned queries in Azure Databricks, cutting down time to insight.
Automated data pipelines with Azure Data Factory speed up data refresh cycles, enabling quicker business decisions.
Improved SQL data models through regular code reviews and performance tweaks, making data retrieval much faster.
Automated weekly reports reduce manual effort and save 10% of monthly work hours.
Mentored junior developers, fostering professional growth and enhancing team productivity.

Software Engineer

Accenture

10.2019 - 04.2022

Implemented ETL processes to support data extraction, transformation, and loading (ETL) from diverse source systems (flat files, Oracle databases), ensuring smooth data integration.
Developed complex ETL mappings using Informatica PowerCenter, including transformations such as Expression, Rank, Filter, Router, Joiner, Aggregator, and Lookup operations.
Enhanced data quality through rigorous data cleansing and staging, ensuring accurate and properly formatted data for warehousing purposes.
Optimized ETL workflows, improving data processing performance, and reliability.
Resolved data extraction issues by applying strong debugging and troubleshooting skills, and maintaining high data quality standards.

Education

Bachelor of Technology - Electronics and Communication Engineering

GRIET

Hyderabad

05.2013

Skills

Big Data: PySpark, Hadoop, Azure Data Lake, Azure Synapse, Azure Databricks, Azure Data Factory, python and basics of DSA

ETL & Data Integration: Informatica, SQL, Data Warehousing

Programming Languages: Python, SQL

Tools & Platforms: Excel

Soft Skills: Problem-solving, Collaboration, Communication

AWARDS & RECOGNITION

BRAVO Award – 2024: Recognized for outstanding performance and contributions., Best Performer – 2021: Awarded for exceptional achievements and impact.

Timeline