Ranadheer N
@ranadheern
Senior AWS Data Engineer with extensive big data expertise.
What I'm looking for
I am a seasoned Senior AWS Data Engineer with over 10 years of experience in software development and a strong focus on big data analytics. My expertise spans the entire software development lifecycle, with a proven track record of delivering high-quality solutions across various industries. I have extensive experience in NoSQL databases, including MongoDB, HBase, and Cassandra, and have successfully implemented Spark applications using Scala and Python for real-time data processing.
Throughout my career, I have worked with major clients such as Amazon Web Services and Capital One, where I developed and optimized data pipelines using AWS services and the Hadoop ecosystem. My role involved monitoring and maintaining the health of EMR clusters, troubleshooting complex issues, and providing technical support to ensure optimal performance. I am passionate about leveraging my skills in data engineering to drive business insights and improve operational efficiency.
Experience
Work history, roles, and key accomplishments
EMR Technical Cloud Support Engineer
Amazon Web Services
Nov 2022 - Present (2 years 8 months)
Monitored and maintained Amazon EMR clusters, ensuring efficient operation and troubleshooting software/hardware issues. Provided timely customer support, assisted with cluster provisioning, performance tuning, and IAM policies, and documented resolutions for knowledge sharing.
Data Engineer/Big Data Developer
Capital One
Oct 2019 - Present (5 years 9 months)
Developed Spark applications using Python and Java, processing data from RDBMS and streaming sources. Optimized Spark performance, implemented real-time data processing with Kafka and Cassandra, and managed data migration to Snowflake.
Big Data Developer
Nike
Jan 2019 - Present (6 years 6 months)
Developed Spark applications with Scala and Java for diverse data sources, enhancing performance and optimizing algorithms. Implemented real-time data processing using Spark Streaming with Kafka and Cassandra, and managed Hadoop clusters on AWS EMR.
Big Data Developer
American International Group
Jul 2018 - Present (7 years)
Developed and optimized Spark applications for various data sources, implementing real-time processing with Spark Streaming and Kafka. Migrated on-premises applications to AWS and managed data within Cassandra and Hive environments.
Sr. Spark/AWS Developer
Blue Cross Blue Shield
Jul 2016 - Present (9 years)
Developed Spark jobs for sensor data, implementing machine learning models and persisting predictions in Cassandra. Managed Kafka for data ingestion, migrated platforms to AWS, and performed ETL for data cleansing and model building.
Hadoop/Spark Developer
Comcast
Feb 2015 - Present (10 years 5 months)
Migrated MapReduce programs to Spark using Scala and Python, developing Spark jobs for interactive and batch analysis. Utilized AWS cloud services, implemented Elastic Search, and managed data in MongoDB and HBase.
Education
Degrees, certifications, and relevant coursework
California State University
Master's, Computer Science
Completed a Master's degree in Computer Science. Focused on advanced topics within the field.
Kakatiya University
Bachelor's, Computer Science
Obtained a Bachelor's degree in Computer Science. Gained foundational knowledge in various computer science principles.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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