Punith Reddy M.
Software Engineer @ Aetna | Developing Healthcare Technology Solutions
- Role
- Azure Data Engineer at Aetna, A Cvs Health Company
- Location
- Carrollton, TX, US
- LinkedIn followers
- 500 followers
About Punith Reddy M.
I\'m a seasoned Data Engineer with a decade of experience in developing and implementing robust data solutions. My expertise lies in designing data pipelines, optimizing data storage strategies, and ensuring impeccable data quality, leveraging platforms like Azure, AWS, Hadoop, and DBT. My work experiences have allowed me to refine my skills in various domains. I\'ve designed and implemented ETL processes for seamless data integration from diverse sources and utilized Azure technologies to optimize these pipelines. With AWS, I have developed optimized data processing and analysis solutions for healthcare. Throughout my career, I\'ve collaborated with cross-functional teams to enhance the efficiency of the entire data ecosystem. Proficiency in tools such as Microsoft Power Apps, Apache Hadoop 2.6.0, Java 8, PySpark, Snowflake underlines my technical competence. My ability to tune database queries, implement caching mechanisms, and continuously improve processes has proven time and again to increase efficiency even in remote settings. In addition to hard skills, I bring a relentless commitment to maintaining data governance policies that ensure compliance with regulatory standards. This dedication ensures optimal data quality across all projects. As an experienced Data Engineer who understands the importance of maintaining high-quality data and efficient processes, I can help your organization navigate its next big project or transition. Let\'s connect and discuss how we can leverage your data for maximum impact!
Experience
Azure Data Engineer
Dec 2023 — Present · Hartford, CT, US
Designed scalable ETL pipelines using Azure Data Factory and Databricks, enhancing data processing efficiency by 30%. • Developed real-time fraud detection systems, processing over 1M events/sec and cutting detection latency by 50%. • Created interactive Power BI dashboards, improving KPI tracking and reducing reporting lag by 50%.
Education
University of North Texas
Master's degree
2022 — 2023
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