Sri Venu Gopal Bollu

Experienced Data Engineer with a strong background in GCP, BigQuery, and SQL. Demonstrated expertise in optimizing data pipelines, automating processes, and enhancing data accuracy. Achieved a 30% reduction in processing time within a six-month timeframe, resulting in improved efficiency. Implemented a 60% enhancement in data retrieval efficiency. Skilled in facilitating communication and delivering impactful solutions.

Core Telco Domain 09/2024 - Present 

BT Group 

• Developed a robust data product by designing and implementing scalable ETL pipelines using Apache Airflow.
• Built Airflow DAGs to automate data ingestion, transformation, and orchestration, ensuring optimized data flow and reliability.
• Conducted User Acceptance Testing (UAT) to validate data accuracy, pipeline performance, and business logic compliance.
• Managed seamless production deployment, ensuring minimal downtime and system stability.
• Performed post-deployment validation, including monitoring, debugging, and performance optimization to maintain data integrity. Leveraged BigQuery, Cloud Storage, and GitLab CI/CD for efficient development and deployment.
• This project improved data processing efficiency, pipeline automation, and decision-making capabilities, aligning with business objectives.

DecisioningEnablement   01/2023 - 09/2024 

BT Group 

• Collaborated with cross-functional teams to enhance data pipelines, resulting in an 80% increase in system efficiency. This involved streamlining processes and reducing execution time from 4 hours to 50 minutes, significantly improving overall performance.
• Ensured data accuracy and integrity by validating over 200 million records to achieve 100% compliance with business requirements. This rigorous validation process helped maintain high data quality and meet stringent standards.
• Developed and orchestrated complex data pipelines, designing over 10 DAGs to streamline workflows. This resulted in a 60% reduction in pipeline execution time, improving efficiency and resource utilization. Additionally, implemented efficient data migration strategies across project spaces.
• Resolved high-priority incidents impacting data products and pipelines, minimizing operational disruptions.
• Developed and implemented monitoring systems that reduced escalated customer support cases by 30% over six months, improving customer satisfaction and response times.
• Developed NRT data pipelines with latency under 5 minutes for time-sensitive reporting, enabling faster decision-making. Implemented data governance practices that improved data accuracy by 15%, ensuring data reliability and compliance.
• Conducted rigorous pre-production testing to validate data accuracy and compliance, ensuring high data quality before deployment. Implemented post-production monitoring solutions to track pipeline health and performance, maintaining system stability and reliability.