Rithwik M
AWS Certified Data Engineer | Expert in Big Data, Cloud Platforms, Real-Time Data Processing and ETL Processes
- Role
- Data Engineer at Pacific Life
- Location
- Jersey City, NJ, US
- LinkedIn followers
- 500 followers
About Rithwik M
As a Data Engineer with 3+ years of experience and a strong academic foundation in data analytics, I am passionate about harnessing the power of data to solve complex problems and drive strategic decision-making. Throughout my career, I have excelled in designing, building, and optimizing robust data pipelines and ETL workflows, ensuring seamless access to reliable and actionable insights across organizations. At Pacific Life, I engineered real-time data pipelines capable of processing over 1M+ records per hour, enabling faster, data-driven investment decisions. By automating ETL workflows and optimizing Redshift schemas, I ensured maximum data reliability while reducing query execution times and improving reporting efficiency. My collaboration with data scientists helped integrate machine learning models, driving advancements in risk and sentiment analysis. During my time at Fortis Medical, I streamlined ETL processes using Azure Data Factory and automated workflows with Power Automate, reducing manual effort by 80%. I built dynamic Power BI dashboards, transforming raw data into visual insights that supported critical decisions on revenue trends, patient growth, and operational metrics. These initiatives contributed to improving financial monitoring and cutting outstanding claims by 25%. With expertise in AWS, Azure, PySpark, and business intelligence tools, I specialize in creating scalable data systems that bridge the gap between raw data and actionable insights. I am driven by a commitment to innovation, data quality, and operational excellence, and I thrive on delivering impactful data solutions that empower teams to achieve their goals. Let’s connect and explore how my skills and experience can help drive meaningful outcomes for your organization!
Experience
Data Engineer
Jan 2024 — Present · US
Engineered real-time data pipelines using Amazon Kinesis Data Streams to process 1M+ records/hour, enabling proactive investment decisions and reducing data latency.• Built scalable ETL workflows with PySpark on AWS Glue, transforming raw data into enriched datasets, cutting analytics preparation time by 40%.• Developed anomaly detection pipelines with Amazon Kinesis Data Analytics, identifying fraudulent activities • Automated ETL workflows using AWS Step Functions and Lambda, ensuring seamless nightly ingestion of 10GB+ data into Amazon Redshift with maximum reliability.• Designed and deployed Amazon QuickSight dashboards, providing actionable insights on fraud trends and sales performance to empower strategic decisions.
Education
CVR College of Engineering, Hyderabad
Bachelor of Technology - BTech
Stevens Institute of Technology
Master's degree
2022 — 2024
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