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Goku007007/README.md

Gokul Nandakumar

Software, Data & Cloud Engineer

Portfolio · GitHub · LinkedIn · Email

About

I design and build data-intensive systems – from full stack apps and backend APIs to ETL/ELT pipelines and cloud data platforms – that support analytics, reporting, and product features.

I work across Software Engineering, Data/Analytics Engineering, and Cloud Engineering, with a focus on reliability, performance, and clear, decision ready data.

What I Work On

  • Data pipelines and ELT workflows (batch + scheduled)
  • Backend and data services for analytics and reporting
  • Full stack, data driven features (React + Node.js APIs)
  • Cloud lakehouse/warehouse setups and KPI layers

Tech

Core stack:
Python · SQL · JavaScript · React · Node.js · FastAPI · dbt · Airflow · Spark · Snowflake · Databricks · BigQuery · AWS · Azure · Docker · Kubernetes · Terraform · GitHub Actions

Open to Software, Data, and Cloud Engineering roles (US remote/hybrid; based in Chicago, IL).
See pinned repositories for selected projects.

Pinned Loading

  1. dbt-duckdb-incremental-starter dbt-duckdb-incremental-starter Public

    Tiny dbt + DuckDB project: seeds → staged model with tests → incremental fact table that only loads new rows. Clone-and-run.

  2. ev-charger-uptime-snapshot ev-charger-uptime-snapshot Public

    EV charging reliability snapshot (AFDC CSV) modeled in BigQuery and visualized in Tableau

  3. gpu-telemetry-lakehouse gpu-telemetry-lakehouse Public

    End to end GPU Telemetry Lakehouse with Prefect, dbt, DuckDB, and ML anomaly detection

    Python