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Ajay User

@ajayuser3

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Motivated Data Engineer passionate about big data technologies.

India

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What I'm looking for

I am looking for a dynamic environment where I can apply my technical skills to build scalable data solutions and contribute to business growth.

I am a motivated and detail-oriented Data Engineer with over 4 years of experience in designing, developing, and optimizing data pipelines and ETL processes. My expertise lies in leveraging big data technologies such as Apache Spark, Hadoop, and Hive to drive efficient data management and analytics. I have a strong foundation in writing optimized SQL queries and managing both relational and NoSQL databases, including PostgreSQL, MySQL, MongoDB, and Snowflake.

In my recent role at Vanguard, I successfully migrated and optimized financial data warehouse operations to AWS Redshift and Snowflake, enhancing query performance by 40% while reducing infrastructure costs. I am passionate about building scalable data solutions and have hands-on experience with cloud platforms like AWS, Azure, and Google Cloud Platform. My commitment to continuous learning and implementing the latest advancements in data engineering drives my ability to deliver high-quality data solutions that contribute to business growth.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer

Current

Vanguard

Aug 2023 - Present (1 year 9 months)

Currently optimizing financial data warehouse operations by migrating from on-premises systems to AWS Redshift and Snowflake. Designed scalable data pipelines and implemented real-time data streaming solutions using Apache Kafka. Collaborated with stakeholders to ensure data availability and compliance with industry regulations.

AWS Redshift Snowflake Apache Spark Apache Kafka Apache Airflow SQL Python Docker Jenkins

Data Engineer

Linova Info Pvt. Limited

Sep 2019 - Sep 2022 (2 years 11 months)

Developed a real-time data streaming pipeline using Apache Kafka and Spark Streaming, reducing data latency by 40%. Designed and maintained scalable ETL pipelines and optimized SQL queries to enhance data processing efficiency. Collaborated with cross-functional teams to ensure data accuracy for reporting.