Open to opportunities

Bhargav User

@bhargavuser

Message

Experienced data engineer with a strong background in big data technologies.

United States

Message

What I'm looking for

I am looking for a role that fosters innovation, collaboration, and growth opportunities in data engineering.

I am a seasoned data engineer with over 6 years of experience in designing, developing, and maintaining large-scale data pipelines and processing systems. My expertise lies in utilizing programming languages such as Python, Scala, and SQL for data manipulation and transformation, alongside a strong command of big data technologies like Apache Spark, Hadoop, and Kafka. I have successfully architected hybrid data platforms that integrate vast amounts of data, enhancing system scalability and reducing costs significantly.

Throughout my career, I have led teams in delivering high-priority projects with a remarkable success rate. My role at AmeriSourceINC involved automating ETL workflows, optimizing data lakes and warehouses, and implementing CI/CD pipelines, which accelerated deployment cycles and improved query performance. I am passionate about data quality and governance, ensuring compliance with regulations such as GDPR and HIPAA while delivering actionable insights through advanced data visualization tools like Tableau and PowerBI.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

AmeriSourceINC

Dec 2020 - Present (4 years 7 months)

Architected and managed a hybrid data platform integrating 2PB of data across AWS and on-premises systems, enhancing system scalability and reducing cloud costs by 20%. Built real-time streaming data pipelines using Apache Kafka and Spark Structured Streaming, supporting 100K+ transactions per second. Spearheaded the implementation of CI/CD pipelines using Jenkins, Docker, and Kubernetes, accelera

AWS Apache Kafka Spark Structured Streaming Jenkins Docker Kubernetes Snowflake Redshift Tableau Python Pyspark SQL Azure Data Factory Databricks

Data Engineer

Coforge

Jun 2017 - Jul 2021 (4 years 1 month)

Developed and maintained 50+ robust ETL pipelines to process and transform structured and unstructured data across multiple sources, improving data processing efficiency by 30%. Optimized data storage and retrieval systems in HDFS, increasing query performance by 25% using Hive and Spark SQL. Designed and implemented scalable data models, including star and snowflake schemas, for a data warehouse

ETL HDFS Hive Data Modeling Star Schemas Microsoft Azure Apache Kafka Docker PostgreSQL Redshift Jenkins GDPR

Education

Degrees, certifications, and relevant coursework

Oklahoma City University

Master of Science, Computer Science

Completed a Master's degree in Computer Science, focusing on advanced topics and research within the field. Gained expertise in various computing disciplines.

R.V.R.& J.C. College of Engineering

Bachelor of Technology, Computer Science

Obtained a Bachelor of Technology in Computer Science, building a strong foundation in computer science principles and practices. Developed skills in programming, data structures, and algorithms.