Open to opportunities

Harsha Kattula

@harshakattula

Message

I build GCP data platforms and AI-powered retail analytics pipelines.

India

Message

What I'm looking for

I'm looking to build cloud-native, AI-ready data platforms and scalable analytics products, with opportunities to work on GCP, Databricks, GenAI workflows, data quality, and enterprise decision intelligence.

I've built enterprise-scale data platforms for Ulta Beauty, combining BigQuery, Databricks, Dataform, Cloud Run, and Claude LLMs to power AI-driven product enrichment, StoreOps analytics, and retail intelligence.

I develop metadata-driven ELT pipelines, trusted data models, and Databricks Medallion architectures that support feature engineering, incremental processing, and AI-ready datasets. My work includes natural-language KPI generation, SQL synthesis, executive summaries, automated attribute imputation, and confidence scoring.

For HSBC, I developed batch and streaming GCP pipelines using BigQuery, Dataflow, Pub/Sub, Cloud Storage, and Cloud Composer for climate and finance data. I also built Python and PySpark ETL pipelines, tuned BigQuery workloads, and implemented CI/CD with Git, Jenkins, and Cloud Build.

I've supported retail analytics platforms for Target and data platform modernization work for Meta, focusing on scalable processing frameworks, data validation, observability, reliable analytical datasets, and production-ready pipelines.

Experience

Work history, roles, and key accomplishments

Current

GCP Data Engineer

Current

HCL Technologies Ltd.

Oct 2025 - Present (10 months)

Engineered an enterprise-scale GenAI data platform on Google Cloud, integrating BigQuery, Databricks, Dataform, Cloud Run, and Claude LLMs for AI-driven product enrichment and retail analytics. Developed metadata-driven Dataform transformations and BigQuery models to curate trusted retail datasets.

Google Cloud Platform BigQuery Databricks dataform Cloud Run Claude Delta Lake Unity Catalog Medallion Architecture Python SQL PySpark Cloud Composer Pub Sub Dataflow Cloud Storage Git Jenkins Cloud Build Agile

Data Engineer

HCL Technologies Ltd.

Mar 2026 - Apr 2026 (1 month)

Built scalable Python-based data processing frameworks and optimized complex SQL pipelines for high-volume analytical workloads. Designed metadata-driven data validation and automated quality assurance frameworks to improve data accuracy and operational observability.

Python SQL Data Validation Data Quality Metadata Management Observability

Data Engineer (GCP)

Inventzo Systems (India) Pvt Ltd.

Feb 2023 - Aug 2025 (2 years 6 months)

Developed scalable batch and streaming data pipelines on Google Cloud Platform using BigQuery, Dataflow, Pub/Sub, Cloud Storage, and Cloud Composer. Designed and optimized BigQuery SQL transformations with partitioning, clustering, and materialized views for high-performance analytics.

Google Cloud Platform BigQuery Dataflow Pub Sub Cloud Storage Cloud Composer Python PySpark SQL ETL CI CD Git Jenkins Cloud Build Agile

Data Engineer Trainee

Inventzo Systems (India) Pvt Ltd.

Aug 2021 - Feb 2023 (1 year 6 months)

Assisted in developing batch ETL pipelines using Python, PySpark, BigQuery, and Cloud Storage for retail sales and operational data processing. Supported BigQuery SQL development for data transformation, validation, and reporting requirements.