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Ankur Patel

@ankurpatel4

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I build reliable cloud data pipelines and analytics platforms.

United States

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What I'm looking for

I'm looking to build reliable cloud data platforms and pipelines that give analytics, BI, and machine-learning teams trusted data. I value close collaboration with technical and business stakeholders and opportunities to solve production data-quality challenges.

I've built scalable ETL/ELT pipelines and cloud data platforms for Sky I.T. Group, Greater New York Insurance Companies, and Executive Business Solutions. My work turns retail, insurance, real-estate, and enterprise data into trusted datasets for analytics and decision-making.

At Sky I.T. Group, I developed Python and SQL pipelines on GCP BigQuery, standardized multi-source retail data, and added validation, reconciliation, and monitoring to improve production reliability. I also built backend data-processing services for an LLM-powered analytics chatbot using trusted sales and inventory data.

Across AWS, GCP, and Azure, I've designed data warehouses, Snowflake models, Databricks and PySpark pipelines, Tableau reporting, and forecasting datasets. I enjoy partnering with technical and business stakeholders to turn reporting needs into accessible data products.

Experience

Work history, roles, and key accomplishments

Data Engineer

Sky I.T. Group

Jan 2024 - Jul 2026 (2 years 6 months)

Designed and maintained automated ETL/ELT data pipelines with Python and SQL on GCP BigQuery, integrating multi-source retail data. Implemented data validation, reconciliation, and monitoring to improve data quality and reliability.

Python SQL GCP BigQuery ETL ELT Data Validation Data Modeling Monitoring Root Cause Analysis LLM Backend Development

Data Analytics Engineer

Greater New York Insurance Companies

Aug 2020 - Oct 2023 (3 years 2 months)

Designed and optimized end-to-end ETL/ELT pipelines for insurance data, delivering trusted datasets for BI reporting and predictive analytics. Partnered with stakeholders to translate requirements into Tableau dashboards and Snowflake data models.

Python R SQL Snowflake Tableau SQL Server ETL ELT Data Validation Data Modeling DataRobot SparkBeyond Machine Learning Feature Engineering

Data Engineer

Executive Business Solutions Corp

Oct 2018 - Mar 2020 (1 year 5 months)

Developed Python ETL pipelines integrating external data into AWS-hosted SQL databases. Designed data pipelines using Azure Data Factory, Databricks, and PySpark, and built a SQL Server data warehouse for retail clients.

Python SQL AWS Azure Data Factory Databricks Apache Spark PySpark SQL Server Data Warehouse Dimensional Modeling Pandas scikit learn Time series Forecasting Tableau R Excel Machine Learning Training

Forecasting & Business Analysis Intern

Novo Nordisk

Jun 2019 - Aug 2019 (2 months)

Processed pharmaceutical sales and demand data using SQL and dbt on AWS to support forecasting. Developed Python ETL workflows and built a Tableau Forecast Tracker to monitor forecast performance.

SQL DBT AWS Python ETL Tableau Data Analysis Forecasting