Govind Edeti

About Govind Edeti

Highly motivated Data Engineer / Python Developer with 4+ years of experience in data engineering, analytics, and automation. Skilled in Python, SQL, Power BI, AWS, and ETL development, specializing in building scalable data pipelines, optimizing database performance, and developing interactive dashboards for data-driven decision-making.Currently working at Sampled as a Data Engineer / Power BI Developer, where I automate data pipelines, integrate cloud-based solutions (AWS, Redshift, S3, Lambda), and develop real-time business intelligence reports. Proficient in extracting, transforming, and loading large datasets while ensuring data integrity, security, and compliance.Previously, I worked on predictive modeling, data visualization, and machine learning at Cloud Odyssey, British Airways, and ReferenceGlobe, where I optimized ETL workflows, created advanced dashboards, and built AI-powered analytics solutions.With a Master’s in Data Science from Pace University, I combine technical expertise with a problem-solving mindset to turn complex data into actionable insights that drive business success. Passionate about Big Data, cloud computing, and AI-driven analytics to optimize business processes and enhance decision-making.

Experience

1. Data Engineer Power Bi Developer

   Sampled

   Jul 2024 — Present · Piscataway, NJ, US

   Designed and implemented an automated data pipeline using Python and AWS services (RDS, S3, Redshift) to ensure data consistency, integrity, and scalability.* Developed a robust ETL process to validate, transform, and integrate data into Amazon Redshift, improving data accessibility for real-time revenue reporting.* Built a Python-based data validation pipeline that interacts with AWS RDS (MySQL), ensuring accurate and up-to-date data retrieval for analytics.* Automated data consistency checks using AWS Lambda, significantly reducing manual validation efforts by automatically detecting discrepancies across multiple data sources.* Implemented AWS IAM-based access control policies to secure sensitive business data, restricting access to authorized users only.* Optimized Redshift queries for large datasets, reducing query execution time by 40% and enhancing reporting performance.* Integrated AWS-hosted data with Power BI, enabling real-time dashboard updates via AWS Lambda functions, ensuring decision-makers always have the latest insights.* Created interactive Power BI dashboards to visualize key revenue and performance metrics, helping executives make data-driven decisions.* Implemented a cloud-based data storage strategy using Amazon S3, ensuring efficient and cost-effective storage for raw and processed datasets.* Developed scalable ETL workflows that extract data from MySQL databases, transform it for consistency, and load it into Redshift, supporting seamless business intelligence reporting.* Automated scheduled data refreshes in Power BI using AWS Glue and Lambda, minimizing latency and maintaining real-time analytics.* Ensured compliance with AWS security standards, leveraging AWS KMS (Key Management Service) for encryption and implementing role-based access control for data protection.* Collaborated with cross-functional teams, including finance, operations, and business intelligence, to tailor data solutions that meet business needs.

Education

• Pace University

  Master's degree

• Sathyabama University

  Bachelor of Engineering - BE