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Akhil Koyyada 18 User

@akhilkoyyada18user

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AI Data Engineer building scalable cloud ETL/ELT and AI-ready data platforms.

United Kingdom

Message

What I'm looking for

I’m looking to build scalable cloud ETL/ELT and AI-ready pipelines, partnering with ML teams to deliver trustworthy data for analytics and decisions, with strong DataOps, automation, and governance.

I’m a Data Engineer with 4 years of experience developing enterprise-scale data platforms and AI-enabled data solutions. I design and implement cloud-based ETL/ELT pipelines, data lakes, and data warehouses to support analytics, AI, and business decision-making.

At Capital One (London), I built and optimized scalable ETL/ELT pipelines using Python, PySpark, SQL, and Azure Data Factory. I developed reliable pipelines on Azure Databricks and Delta Lake, preparing high-quality datasets through data cleansing, transformation, feature engineering, and validation for ML training and inference.

Previously at Checkout.com (London), I built scalable Snowflake data warehouses using Snowpipe, Streams, Tasks, Time Travel, and Secure Views. I also modernized legacy reporting into Azure Lakehouse and Azure Synapse, implemented governance with Microsoft Purview, and orchestrated production-grade pipelines with Apache Airflow.

I’m especially strong in DataOps and DevOps practices—automating orchestration, quality checks, and CI/CD using Git and Azure DevOps/Terraform. I also deliver insights through Power BI dashboards, and I hold the Microsoft Certified: Azure Data Engineer Associate (DP-203).

Experience

Work history, roles, and key accomplishments

Current

AI Data Engineer

Current

Capital One

Jan 2025 - Present (1 year 6 months)

Designed and developed scalable ETL/ELT pipelines using Python, PySpark, SQL, and Azure Data Factory to ingest and transform structured and unstructured data. Built and optimized pipelines on Azure Databricks and Delta Lake to support AI applications, including dataset preparation, data quality automation, orchestration with Apache Airflow, and CI/CD with Git and Azure DevOps.

Python PySpark SQL Azure Data Factory Azure Databricks Delta Lake Azure SQL Database REST APIs Airflow Data Quality Feature Engineering Data Validation Git Azure DevOps CI CD Power BI

Data Engineer

Checkout.com

Nov 2022 - May 2025 (2 years 6 months)

Built scalable Snowflake data warehouses using Snowpipe, Streams, Tasks, Time Travel, and Secure Views. Developed Python and PySpark ETL/ELT pipelines with Azure Data Factory, Databricks, ADLS Gen2, and Structured Streaming, including governance with Microsoft Purview, orchestration with Apache Airflow, transformations with dbt, and infrastructure automation using Terraform and Azure DevOps.