Ramakrishna Mega

Data Engineer Ii @Amazon

Bellevue, WA, US
MOBILE NUMBERS
+91 *********19

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WORK HISTORY

Feb 2025 — Present

Data Engineer Ii @Amazon

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Seattle, WA, US

EDUCATION

N/A

Indian Institute of Information Technology, Design and Manufacturing, Jabalpur

Bachelor of Technology, Computer Science

N/A

Drexel University's LeBow College of Business

Master's degree, Business Analytics

ABOUT RAMAKRISHNA MEGA

Experienced data professional with 4.5+ years of expertise in the domain. I\'ve had the privilege of serving clients from diverse sectors, including finance, e-commerce, healthcare, marketing, and retail. I am currently excelling as a Data Engineer at NeenOpal Intelligent Solutions, a leading analytics company. Before my current role, I achieved a significant milestone in my career during my tenure at a prominent FAANG company, Amazon. There, I led an end-to-end project that resulted in substantial cost savings of 1.1 million USD annually. Prior to that, I accumulated valuable experience in India, working for the same company I am currently part of. My journey at NeenOpal was a transformative experience, providing me with real-world exposure to diverse roles, including Data Engineering, Business Intelligence and Data Science. This multi-faceted experience equipped me with a rich skill set and a deep understanding of data and its implications for business. I am dedicated to continuing my growth in the Data Engineering field with a vast cross-functional knowledge in diversified domains, leveraging my experiences to drive value and innovation in every project I undertake. I am always eager to learn new skills and stay updated with the latest industry trends and best practices.Programming: Python, R, PySpark, SQL Databases: AWS Redshift, Snowflake, MySQL, MS SQL Server, PL/SQL, MongoDB Data Engineering & Cloud Technologies: ETL, Spark, AWS Glue, S3, Athena, Airflow, Lambda, IAM, SNS, Tableau Prep Visualization Tools: AWS QuickSight, Tableau, PowerBI, Excel Other Tools & Technologies: GitHub, DBT, JIRA, Hive, Presto, YARN, HDFS, Google Analytics, Fivetran, Docker, Agile

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