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Harshit Gurani

@harshitgurani

Analytics professional with 5+ years of experience in enabling data driven decision for companies creating analytics products and services

India

Message

At Best Buy India, I build data validation systems and analytics assets that help product teams trust clickstream data at scale.

I engineered a Validator as a Service framework that automates SQL generation and BigQuery validations, detecting 99% of non-compliant events while reducing manual QA effort by 80%.

Previously at Acnovate Corporation and Merkle, I built ETL, real-time ingestion, and data warehouse solutions using Python, SQL, Spark, Kafka, Databricks, Azure, and BigQuery. My work supported reliable decision-making, data governance, and predictive analytics.

I also build practical AI data tools, including a GCP log-analysis agent using RAG, Cloud Logging, ChromaDB, and local LLM orchestration.

Experience

Work history, roles, and key accomplishments

Current

Software Engineer 2 - Data

Current

Best Buy India

Feb 2025 - Present (1 year 7 months)

Engineered Validator as a Service framework for automated SQL generation and BigQuery-based validations, reducing manual QA effort by 80%. Developed scalable validation pipelines and Looker Studio dashboards for contract compliance tracking.

BigQuery Cloud Run Cloud Scheduler Cloud Functions Looker SQL Slack Email Alerts Data Validation Semantic layer Self Service BI

Data Engineer

Acnovate Corporation

Mar 2024 - Feb 2025 (11 months)

Designed and implemented end-to-end data lifecycle for projects, leveraging Azure services to build scalable data solutions. Collaborated with cross-functional teams to integrate data marts and real-time ingestion pipelines.

Azure Databricks Azure Data Factory SQL Server Power BI PySpark Airflow Kafka Spark Streaming Data Governance Data Profiling Agile

Data Engineer

Merkle

Mar 2021 - Nov 2023 (2 years 8 months)

Built and maintained scalable ETL pipelines using Python and SQL to ingest marketing and sales data into Google BigQuery. Developed automation scripts to clean and standardize datasets, improving processing efficiency by 40%.