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Akshay Chavan

@akshaychavan

Message

I resolve production ETL, Linux, and SQL incidents through monitoring and automation.

India

Message

What I'm looking for

I'm looking for a cloud, production support, or DevOps-focused role where I can improve reliability through ETL support, Linux and database troubleshooting, proactive monitoring, automation, and cross-functional incident resolution.

At Scholarlify, I investigate Linux and application issues affecting ETL jobs, data loads, and SQL performance. I reduced PostgreSQL query latency by 42% and improved system reliability and SLA compliance by 30% through Prometheus, Grafana, Python, and shell-based automation.

I've also delivered high-volume L1/L2 support for business-critical telecom applications at Bigseer, resolving over 90% of incidents on first contact. I work across incident triage, RCA, batch monitoring, database diagnostics, and cross-functional escalation in 24x7 production environments.

Experience

Work history, roles, and key accomplishments

Current

System Support Engineer

Current

Scholarlify

Nov 2022 - Present (3 years 9 months)

Investigates and resolves complex Linux and application-level issues for data-intensive applications, focusing on ETL job failures and SQL performance. Supports ETL pipelines and batch processing systems, reducing PostgreSQL query latency by 42% through performance tuning.

Linux ETL PostgreSQL SQL SQL Tuning Root Cause Analysis Python Shell Scripting Prometheus Grafana Incident Management SLA Management Knowledge Base Management

System Support Associate

Bigseer

Mar 2021 - Nov 2022 (1 year 8 months)

Provided high-volume L1/L2 support for business-critical telecom applications and supporting data systems in a 24x7 production environment. Resolved over 90% of incidents on first contact and optimized SQL queries for reporting systems, improving execution times by approximately 50%.

L1 L2 Support Incident Management SQL Query Optimization ETL Troubleshooting