About Me
Data Analyst with experience transforming operational, incident, and observability data into actionable business insights using AWS analytics services. Skilled in SQL (Athena), AWS Glue, Lambda, Amazon S3, QuickSight, se…
Data Analyst with experience transforming operational, incident, and observability data into actionable business insights using AWS analytics services. Skilled in SQL (Athena), AWS Glue, Lambda, Amazon S3, QuickSight, serverless ETL pipelines, KPI development, dashboard design, and AI-assisted workflow automation. Experienced in cloud analytics, stakeholder reporting, and operational intelligence.
Experience
Data Analyst – Operations & Cloud Analytics
<p>Analysed 10k+ operational events and incident records from NewRelic and FreshService to identify performance trends and SLA deviations.</p><p> Designed serverless ETL pipelines using AWS Glue, Lambda, and Amazon S3 to ingest, transform, validate, and prepare operational datasets.</p><p> Optimized Athena queries using Parquet and partitioning, reducing dashboard refresh latency by approximately 30–40%.</p><p> Built AWS QuickSight dashboards for SLA compliance, ticket lifecycle (Open, Closed, In Progress), operational KPIs, and executive reporting.</p><p> Developed Chart.js dashboards for operational visibility and trend analysis.</p><p> Performed exploratory analytics in Athena to identify recurring incidents and support operational decisions.</p><p> Collaborated with stakeholders to validate metrics and improve dashboard adoption.</p><p> Designed an AI-assisted automation workflow that identified customer accounts from NewRelic, validated data stored in Amazon S3, and automated customer-group updates in NewRelic, reducing manual operational effort.</p><p> Leveraged Generative AI tools to accelerate workflow development, SQL generation, automation design, and documentation.</p>