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Praveen Reddy

Praveen Reddy

Production Support Engineer | Data Analyst

Bangalore, India 4+ yrs exp 94 · Outstanding

About

L2 Production Support Engineer with 3+ years of experience at Urban Ladder, where I spend most of my time writing SQL queries to investigate issues, building Grafana dashboards to catch problems before they escalate, and automating the repetitive parts of support work with Python scripts. I am actively transitioning into a data analyst role and have been building hands-on skills in MySQL, Power BI, and data pipeline design alongside my core support responsibilities. I work well across engineering, product, and QA teams, and I take ownership of problems end to end.

Skills & Expertise (17)

MySql Advanced
8.0/10
3
Years Exp
Python Intermediate
7.5/10
3
Years Exp
Grafana Intermediate
7.5/10
2
Years Exp
Root Cause Analysis Advanced
7.5/10
3
Years Exp
Microsoft Excel Advanced
7.0/10
5
Years Exp
Incident Management Advanced
7.0/10
3
Years Exp
SLA Management Advanced
7.0/10
3
Years Exp
Jira Advanced
7.0/10
3
Years Exp
MySQL WorkBench Intermediate
6.5/10
2
Years Exp
Technical Documentation Intermediate
6.0/10
3
Years Exp
Confluence Intermediate
6.0/10
2
Years Exp
Bitbucket Intermediate
6.0/10
2
Years Exp
Kibana Intermediate
6.0/10
2
Years Exp
Postman Intermediate
6.0/10
2
Years Exp
Power BI Intermediate
5.5/10
2
Years Exp
Elasticsearch Intermediate
5.0/10
2
Years Exp
Salesforce Beginner
4.5/10
1
Years Exp

Work Experience

Product Support Engineer – L2

Urban Ladder Home Decor and Solutions

Jun 2022 - Present

Promoted from L1 to L2 within 13 months based on consistent SLA performance, technical ownership, and the depth of SQL-driven root cause analysis I brought to complex production issues. Write and optimise MySQL queries across order management, inventory, and logistics schemas to trace data integrity failures, validate business logic, and produce structured RCA reports – this has reduced average incident resolution time by around 25%. Designed and configured 20+ Grafana dashboards and alert rules covering order pipeline health, payment failures, and warehouse sync delays, which cut manual monitoring effort by 30% and shifted the team from reactive to proactive incident handling. Built Python script to automate log parsing, alert triage, and recurring report generation, saving the team approximately 5 engineering hours per week and freeing up capacity for higher-priority investigation work. Worked closely with Engineering, Product, and QA teams to escalate and reproduce product bugs via JIRA; contributed data-backed issue prioritisation to 3 sprint planning cycles. Maintained an internal knowledge base of 50+ RCA documents and runbooks that the team now uses as a first reference during incidents, which cut new-joiner ramp-up time by an estimated 40%. Investigated and resolved P1 and P2 incidents across order fulfilment, returns, and inventory sync workflows using Grafana, Airbrake, Kibana, and application logs while consistently meeting SLA targets above 95%. Awarded Star Performer of the Quarter by Urban Ladder leadership for contributions to incident automation and product stability improvements.

Education

B.Tech – Electronics and Communication Engineering - Christ University

2018 - 2022 · Afghanistan

Certifications

Power BI Desktop for Beginners

Maven Analytics, Udemy · 2025

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Profile Score Breakdown

📷 Photo 10/10
📄 Resume 10/10
💼 Job Title 10/10
✍️ Bio 10/10
🛠️ Skills 20/20
🎓 Education 10/10
⏱️ Experience 14/15
💰 Rate 0/5
🏆 Certs 5/5
Verified 5/5
Total Score 94/100

Profile Overview

Member sinceSep 2026