Bhanu Krishnam Naidu Gedela

About Bhanu Krishnam Naidu Gedela

Experienced data engineer with 3 years of expertise in data warehousing, ETL processes, and cloud platforms. Skilled in Snowflake schema optimization, Azure Data Lakes, and Databricks. Proficient in PySpark for complex data manipulation and SQL window functions for pipeline efficiency. Hands-on experience with AWS Kinesis and EMR for real-time streaming and large-scale processing. Strong in managing Redshift clusters and AWS Lambda integration. Dedicated to Agile and SDLC methodologies, adept at creating real-time Tableau dashboards. Collaborative team player, proactive in stayingupdated with industry trends.

Experience

1. Senior Data Engineer

   Doublene Technology LLC

   Apr 2023 — Present · US

   Optimized query performance on large datasets using SQL and Python, reducing average query time by 40%.• Developed and maintained scalable data pipelines using Apache Airflow and Talend, resulting in a 30% reduction in data processing time.• Worked with large datasets, including data cleaning, manipulation, and analysis using Python libraries like NumPy, Pandas, Scipy and Matplotlib.• Collaborated with data scientists and analysts to design data models in Snowflake, enhancing data integrity and performance by 20%.• Led the migration of on-premises data infrastructure to AWS, leveraging services like S3, EMR, and Lambda, resulting in 20% cost savings.• Developed real-time data streaming solutions using Apache Kafka and AWS Kinesis, enabling near-instantaneous data availability, improving data latency by 50%.• Automated data quality checks and validations, ensuring high accuracy and consistency across datasets, leading to a 25% reduction in data errors.• Conducted root cause analysis for data discrepancies and implemented corrective actions, reducing data errors by 25%.• Designed and implemented a data governance framework to ensure compliance with GDPR and HIPAA regulations, achieving 100% compliance.• Created and maintained technical documentation for data pipelines, ETL processes, and data models, improving knowledge sharing and onboarding efficiency by 30%.

Education

• UMass Boston

  Master's degree, Master’s in business Analytics (STEM)

• Gayatri Vidya Parishad College of Engineering (Autonomous)

  Bachelor of Technology - BTech, Computer Science and Engineering