Unnam Pavan Chowdary

Data product creation | Geosteering | Fortune 15 Oil & Gas Company

· Integrated data from multiple sources and Created CI CD/CM approved data products for different entities

· Optimized the read transformation and write speeds by using different spark techniques

· Built automated daily refresh pipelines to track data changes and streamline data consumption

· Delivered: Delivered multiple CI CD/CM-approved data products by consolidating geological data from diverse sources into a centralized data lake; optimizing Spark performance; and ensuring reliable and efficient data processing.

· Tech Stack: Pyspark , Python , Databricks , Ansible – CI/CD

Unified Trading Solution | Fortune 15 Oil & Gas Company

· Utilized Azure Data Factory and Azure Databricks for Extract Transform Load (ETL)

· Designed and implemented a high-performance accurate SQL database with automatically refreshes from external sources into Databricks for transformation

· Built automated daily data refresh pipelines and deployed Databricks workflows using integrated Ansible for streamlined orchestration management

Optimized resource allocation dynamic React-based UI with a Python middleware fetching the data from a SQL database; and implemented security features like Azure AD login and role-based access control

• Built and maintained multiple dashboards to monitor and analyze key KPIs across the supply chain and customer churn
• Streamlined the new customer onboarding flow by implementing geographic customer segmentation, resulting in savings of up to ₹5 lakh within 2 months
• Analyzed sales and conversion data across regions to design targeted marketing campaigns, which helped double the company's visibility

• Worked on HMI tool in improving accuracy of ML by marking stowing action accurately
• Mentored a group of 15 associates to improve process knowledge
• Handled Team performance reports using MS Excel
• Achieved accuracy of 99.87% within Initial days and peaking to 99.90%
• Worked on AMZL pilot project achieving accuracy of 99.77%