Dipanjan G.

About Dipanjan G.

Software Engineer with hands-on experience building monitoring, observability, and automation solutions for large-scale data workflows.Currently working within the Site Reliability Engineering (SRE) team at Fanatics, where I design and develop reliability systems focused on Airflow workflow health, SLA monitoring, incident detection, and data platform observability. My work includes building Python-based monitoring services integrating Airflow REST APIs, PostgreSQL, Slack alerting, and Grafana dashboards to improve operational visibility and reduce manual monitoring effort.Core areas of focus:• Data Platform Reliability & Monitoring• Workflow Orchestration (Airflow)• SLA Enforcement & Incident Automation• Data Pipeline Health Monitoring• Observability & Alerting Systems• Production Data Operations AutomationTechnically strong across Python, SQL, AWS (S3, EMR, Airflow), Docker, and PostgreSQL, with experience working closely with SRE and platform teams to productionize monitoring solutions and improve system reliability.My background combines data operations, automation, and engineering, allowing me to bridge the gap between data workflows and platform reliability. I am especially interested in building scalable data platforms where reliability, observability, and automation are first-class citizens.Open to opportunities in:Site Reliability Engineering • Data Reliability Engineering • Platform/SRE (Data-focused) • Workflow Orchestration & Observability

Experience

1. Analyst Ii - Sre

   Fanatics

   Jan 2026 — Present · Hyderabad, IN

   Working within the Site Reliability Engineering (SRE) team to build reliability and monitoring solutions for data platforms.* Developing a Python-based Airflow monitoring service to track workflow health, SLA compliance, and incident detection across production pipelines.* Implemented automated DAG status classification (Running, Long Running, Failed, Not Triggered, Success) with hourly aggregation logic.* Built monitoring integrations using Airflow REST API, PostgreSQL, Slack alerts, and Grafana dashboards.* Designed incident tracking and active issue management workflows to improve operational visibility and reduce manual monitoring.* Containerized monitoring services using Docker with deployment readiness for Kubernetes/EKS environments.* Collaborating with platform engineers to productionize observability and reliability automation.

Education

• Sri Aurobindo Vidyamandir

  Class 12, SCIENCE

  2006 — 2017

• Government College of Engineering and Textile Technology, Berhampore

  Bachelor of Technology - BTech, Computer Science And Engineering

  2017 — 2021