Summary
Overview
Work History
Education
Skills
Timeline
Generic

Prakash B

Big Data Engineer
Bangalore

Summary

Diligent Big Data Engineer with a robust background in designing and implementing scalable big data solutions, demonstrating a strong track record of optimizing data pipelines to enhance processing efficiency. Expertise in leveraging Apache Hadoop and Spark facilitates advanced data analysis and real-time processing capabilities. Committed to driving innovation through data-driven insights and solutions, consistently delivering high-quality results in fast-paced environments. A proactive approach to problem-solving enables effective tackling of complex challenges and contributes significantly to team objectives.

Overview

4
4
years of professional experience

Work History

Big Data Engineer

Consultants to Government and Industry
05.2024 - Current


  • Automated data quality validation processes using Python, reducing manual checks by 30%.
  • Conducted Spark job performance tuning, achieving 20–25% faster execution of critical workloads.
  • Collaborated with stakeholders on solution design, production support, and deployment.
  • Ensured system reliability by troubleshooting production issues and optimizing cluster usage.
  • Automated routine tasks through scripting languages, reducing manual effort and human error risks.

Big Data / Hadoop Developer

Tata Consultancy Services Ltd
04.2021 - 03.2024
  • Delivered data pipelines for PNC Bank (US) to process high-volume financial data across multiple sources.
  • Developed end-to-end ETL workflows using Spark, Hive, Sqoop, Oozie, Impala, improving reporting efficiency.
  • Migrated and integrated data from RDBMS systems (MySQL, Oracle, Teradata) into HDFS for enterprise-wide use.
  • Built Hive & Impala models enabling faster queries and supporting regulatory compliance reporting.
  • Partnered with business analysts and data teams to design optimized data warehousing solutions.
  • Maximized resource utilization within a multi-node cluster environment through effective job scheduling using tools like Oozie.
  • Implemented data partitioning strategies to optimize storage usage and query performance.

Education

Associate of Arts - Electronics & Communication

MVJ College of Engineering
Bengaluru, India
04.2001 -

Skills

Spark development

Timeline

Big Data Engineer

Consultants to Government and Industry
05.2024 - Current

Big Data / Hadoop Developer

Tata Consultancy Services Ltd
04.2021 - 03.2024

Associate of Arts - Electronics & Communication

MVJ College of Engineering
04.2001 -
Prakash BBig Data Engineer