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@bhargavuser
Experienced data engineer with a strong background in big data technologies.
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.
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Work history, roles, and key accomplishments
AmeriSourceINC
Dec 2020 - Present (4 years 11 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
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
Degrees, certifications, and relevant coursework
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.
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.
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