Sreekanth KC — Data Engineer

I’m a Data Engineer with 7+ years of experience building scalable, reliable, and observable data systems on Google Cloud Platform. Currently working as a Data Engineer III at Verizon, I specialize in designing cloud-native, event-driven architectures that improve data reliability, transparency, and operational efficiency. At Verizon, I’ve contributed to building an in-house pipeline observability framework that monitors data pipelines end-to-end. My work includes: Designing real-time alerting systems integrated with OpsGenie, Jira, and email Reducing Mean Time to Detect (MTTD) from hours to minutes through automated monitoring Implementing pipeline lineage for dependency tracking, impact analysis, and faster debugging Integrating modern GCP systems with legacy schedulers (CA7, ESP) Previously at Fractal Analytics and Accenture, I worked on ETL platforms, data quality systems, and APIs—building solutions that improved data accuracy, anomaly detection, and system visibility at scale. 🔧 Core Skills Cloud & Data: GCP, BigQuery, Dataflow, Pub/Sub, Cloud Storage Orchestration & Processing: Airflow (Cloud Composer), Spark, ETL Programming & APIs: Python, SQL, Flask, REST APIs Focus Areas: Data Observability, Reliability Engineering, Lineage, Monitoring & Alerting I’m passionate about data reliability engineering, building systems that don’t just move data—but make it trustworthy, explainable, and resilient.

Stackforce AI infers this person is a Data Engineer specializing in SaaS solutions with a focus on data reliability and observability.

Location: Bangalore Urban, Karnataka, India

Experience: 7 yrs 10 mos