Senior Big Data Engineer
Transforming raw data into actionable insights with 4.5+ years of expertise in AWS, Spark, and scalable data architectures.
Transforming raw data into actionable insights with 4.5+ years of expertise in AWS, Spark, and scalable data architectures.
Passionate about turning data into insights
Seasoned Sr. Big Data Engineer with 4.5+ years of experience in developing robust big data solutions, ETL workflows, and cloud-native applications. Proficient in Java, Scala, Python and Spark with expertise in AWS services.
Adept at designing scalable architectures, implementing data pipelines, and delivering actionable insights through advanced BI tools. Currently working as a freelance consultant, helping organizations leverage their data for strategic decision-making.
Expertise across the modern data engineering stack
My professional journey in data engineering
Designed and implemented cloud-native data architectures leveraging AWS services such as Glue, Redshift, Amplify and Lambda for scalable and cost-effective data processing.
Engineered and optimized ETL pipelines using Spark, Scala, and AWS services to process multi-terabyte datasets for enterprise-level applications.
Showcasing impactful data engineering solutions
Migrated 10+ TB data to S3 and Redshift with automated pipelines using EMR and Glue. Created QuickSight dashboards for operational insights.
Built dynamic ETL pipelines for structured and semi-structured data sources. Designed custom analytics dashboards with global filters and Spring Boot microservices.
Developed AWS Cloud APIs for resource auditing and BOM processing. Created comprehensive QuickSight dashboards for operational insights.
Designed backend for web CMS and mobile application using Scala Play framework. Integrated weather APIs and campaign management modules.
Gujarat Technological University (GTU)
Published multiple technical blogs on AWS solutions at awspcube.blogspot.com
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