Sateesh Teppala

Data Engineer

IBM India Pvt Ltd.•  January 2022 - Present•  Bengaluru, India

Exhibited exceptional stakeholder engagement capabilities through collaborative efforts with product owners, meticulously eliciting requirements and defining project objectives/deliverables for the intricate Marketing Platform managing individual, company, and linking data. • Orchestrated a strategic transition from legacy DataStage jobs to Apache Spark, leveraging the proprietary ETL- Framework constructed with Spark 3.0.1 and Scala 2.12, culminating in a remarkable 60% enhancement in data processing scalability and performance metrics. • Architected real-time cloud monitoring dashboards for ops/dev teams through a seamless integration of Python and DB2, enabling comprehensive job performance analysis and expediting issue resolution processes. • Implemented a robust CI/CD pipeline and orchestrated Spark job deployments on Kubernetes using spark- operator, demonstrating proficiency in streamlining automation and scalability endeavours. • Developed and deployed a resilient data engine leveraging Trino, Hive Metastore, PostgreSQL, and Cloud Object Storage, creating Hive tables using Parquet files to ensure uninterrupted data accessibility and business continuity, even during database outages, demonstrating technical expertise and a commitment to delivering robust and reliable data solutions. • Administered and scaled Kubernetes clusters, proactively monitoring resource utilization and optimizing performance through custom-built Grafana and Prometheus dashboards, ensuring high availability and efficient resource management paradigms. • Engineered an optimized Data Retention application to compute and manage available data effectively, streamlining data utilization and ensuring compliance with industry standards and regulatory mandates. • Developed an innovative tool that streamlines data integration by standardizing columns from various sources according to business requirements, earning recognition from developers and stakeholders for its effectiveness in saving manual effort and enhancing productivity. • Led a mission-critical migration from a legacy Java RESTful API to the Python FastAPI framework, architecting and deploying the new API from the ground up, resulting in a remarkable 75% increase in data delivery speed to Cognos dashboards, significantly enhancing the user experience. • Garnered prestigious recognition and appreciation from tribal leadership and manager for my outstanding contributions, which demonstrably improved dashboard performance.