Open to opportunities

Karthikeya Anusury

@karthikeyaanusury

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Data Analytics Engineer building AWS data pipelines and BI reporting with SQL-driven insights.

Ireland

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What I'm looking for

I’m looking for a data analytics/engineering role where I can build reliable cloud pipelines and BI dashboards, enforce data quality, and turn SQL/Python insights into faster business decisions.

I’m a Data Analytics Engineer with 4+ years building cloud data pipelines, BI reporting, and SQL-driven analysis across insurance, retail, and operations. I’ve built AWS ingestion pipelines with 99.9% accuracy and automated reporting that cut processing time 30%, while delivering Power BI dashboards that replaced static Excel reports.

In my current role, I develop scheduled-refresh Power BI over PostgreSQL on AWS RDS, investigate shrinkage and waste across hundreds of SKUs, and standardize KPI definitions using reusable SQL views and parameterized queries. Previously, I engineered AWS ingestion to replace Mainframe extracts, migrated ETL/reporting components to AWS, and resolved 50+ production incidents—always focusing on data quality and faster, more reliable decision-making.

Experience

Work history, roles, and key accomplishments

Current

Sales Operations Analyst

Current

Glennella Foods Limited

Jan 2025 - Present (1 year 7 months)

Built Power BI dashboards over PostgreSQL on AWS RDS to track weekly sales, stock cover, and staffing KPIs, replacing 12 static Excel reports. Performed SQL and Python/Pandas analyses for waste/shrinkage, margin evaluation, KPI standardization, and recurring data-quality checks.

Power BI DAX Power Query SQL PostgreSQL AWS RDS Python Pandas Data Quality KPI Reporting Data Integration

End-to-End PySpark Lakehouse Pipeline

GitHub

Jun 2026 - Jul 2026 (1 month)

Built an end-to-end PySpark lakehouse using Bronze-Silver-Gold medallion architecture with incremental ingestion and Delta Lake storage on MinIO. Orchestrated with Dagster, validated with Great Expectations, served curated datasets via DuckDB, and implemented CI/CD with GitHub Actions.

PySpark Delta Lake Medallion Architecture Dagster Great Expectations DuckDB Minio CI CD GitHub Actions

Real-Time Fraud Detection Platform

GitHub

May 2026 - Jun 2026 (1 month)

Built a real-time streaming fraud detection platform using Apache Kafka and Spark Structured Streaming with ML model inference. Designed for sub-second latency with a feature engineering layer and model monitoring to support actionable insights.

Kafka Spark Structured Streaming Python Model Inference Feature Engineering Real Time Analytics Model Monitoring

AtliQ Supply Chain Analysis

GitHub

May 2025 - Jun 2025 (1 month)

Built a Power BI dashboard for supply-chain KPIs (OT%, IF%, OTIF%) using DAX measures and Power Query transformations. Improved supply-chain visibility and supported root-cause analysis to inform procurement decisions.

Power BI DAX Power Query Root Cause Analysis

Software Engineer - Data Analytics

LTIMindtree

Jul 2020 - Aug 2023 (3 years 1 month)

Engineered AWS ingestion pipelines with S3 and Glue to replace nightly mainframe extracts and load policy/claims data with 99.9% accuracy. Automated ETL/analysis and reporting with Python and SQL, reduced ETL processing time by 30%, and handled production batch incidents across COBOL/JCL/DB2 job streams.