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@jaswanthreddynarala
Experienced Data Engineer specializing in scalable data pipelines.
I am an experienced Data Engineer with over 3 years of expertise in building scalable data pipelines and architecting multi-cloud solutions. I have successfully led the optimization of ETL workflows, reducing integration time by 50% and significantly improving data accessibility. My proficiency in technologies such as Apache Spark, Kafka, and SQL has enabled me to architect robust data infrastructures that support real-time analytics and strategic data initiatives.
Throughout my career, I have developed automation tools using Flask and Django, streamlining operations and reducing manual effort. I am skilled in implementing CI/CD workflows with Jenkins and Docker, ensuring efficient and consistent deployments. My strong data validation methods have been instrumental in ensuring data accuracy and analytical precision, making me a valuable asset in any data-driven organization.
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Work history, roles, and key accomplishments
Molina Healthcare
Feb 2025 - Present (9 months)
Designed scalable data pipelines using Python, Java, SQL, and Apache Spark, enabling real-time processing and reporting for population health insights. Constructed multi-cloud infrastructure utilizing AWS, Azure, and GCP, cutting data processing time by 35% and improving system resilience across platforms.
Cognizant Technology Solutions
Jun 2022 - Present (3 years 5 months)
Engineered and maintained scalable real-time data pipelines using Apache Kafka, Java, Scala, and Apache Spark, reducing data processing latency and enhancing real-time analytics capabilities. Implemented and automated CI/CD pipelines with Jenkins, Docker, and Kubernetes, increasing deployment efficiency by 40% and improving application uptime across production environments.
I-SPARROW
Jun 2020 - Present (5 years 5 months)
Designed and implemented REST and SOAP web services, improving data integration efficiency between systems. Employed Hadoop, Hive, and PL/SQL for processing large datasets, managing Snowflake Enterprise Data Lake and enhancing data processing speed.
Degrees, certifications, and relevant coursework
Master of Science, Computer Science
Pursued a Master of Science in Computer Science, deepening knowledge in advanced computing concepts and data engineering principles. Focused on developing scalable solutions and enhancing analytical capabilities.
Bachelor of Technology, Computer Science and Engineering
Completed a Bachelor of Technology in Computer Science and Engineering, building a strong foundation in programming, algorithms, and software development. Engaged in various projects to apply theoretical knowledge to practical scenarios.
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