Chaitanya Reddy MacHavaram
Salesforce Administrator | 3+ Years Experience in Salesforce Development, CPQ, and API Integrations | Salesforce Certified Administrator
- Role
- Big Data Engineer at Doublene Technology LLC
- Location
- Erie, CO, US
- LinkedIn followers
- 500 followers
About Chaitanya Reddy MacHavaram
Salesforce professional with 3+ years of experience in Administration and Development…
Experience
Big Data Engineer
Jan 2025 — Present · US
Migrated multi-state level data (5M+ records) from on-premises SQL Server to Snowflake on AWS with 99.9% accuracy using Python, Java methods, SnowSQL, SSIS, and SSRS.• Integrated Apache Kafka for real-time cloud data streaming, reducing data latency by 40% and improving operational responsiveness.• Architected and implemented scalable ETL pipelines using AWS Glue and AWS Data Pipeline to process over 1 Petabyte of structured and semi-structured data.• Deployed and optimized machine learning models on AWS EC2, improving prediction speed by 20% and model accuracy by 15%.• Performed data modeling and statistical analysis in Python on cloud-based datasets, leading to a 10% increase in forecasting accuracy for business operations.• Automated cloud-native CI/CD pipelines for data workflows using Python, significantly reducing deployment errors (60%) and release cycle times (50%).• Orchestrated 100+ daily DAGs using Apache Airflow on AWS, achieving a 99.5% pipeline success rate and ensuring reliable data processing.• Developed interactive Tableau dashboards connected to cloud data sources, enhancingexecutive decision-making and improving stakeholder insights by 35%.• Conducted predictive analytics in Tableau, uncovering behavioral patterns that increased user engagement by 12%.• Built and maintained CI/CD pipelines using Jenkins and AWS in Agile environments, reducing deployment time by 40% and ensuring rapid delivery of analytics solutions.• Converted complex SQL queries, stored procedures, and triggers into scalable ETL logic within cloud environments, improving processing performance by 30%.
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