Sai Akhil
Bi Data Engineer @Priceline
Signup · Get unlimited contacts
WORK HISTORY
Bi Data Engineer @Priceline
Toronto, ON, CA
Built scalable data pipelines using ADF, Databricks, PySpark, Synapse, and Snowflake for batch and streaming workloads. Implemented Medallion Lakehouse architecture, improving data reliability & analytics performance. Automated workflows using Airflow, Azure Functions, Logic Apps, and CI/CD (Azure DevOps), improving delivery speed by 50%. Developed Power BI models and dashboards to support decision-making across business functions. Enabled real-time analytics using Kafka + Event Hubs for IoT and application data ingestion.
EDUCATION
Gitam Deemed University
Bachelor of Technology, Computer Science
ABOUT SAI AKHIL
I am a Data Engineer with 6+ years of hands-on experience in building cloud data pipelines, ETL/ELT workflows, and modern data platforms across Azure and AWS environments. My expertise includes Azure Data Factory (ADF), Azure Databricks (PySpark), Azure Synapse Analytics, Snowflake, Kafka, Airflow, Power BI, and advanced SQL + Python development.I specialize in designing and implementing Lakehouse architectures, Delta Lake pipelines, and real-time streaming solutions that support analytics, machine learning, and enterprise BI workloads. I have experience working with large-scale distributed systems, data modeling, data validation, and performance tuning for high-volume and mission-critical datasets.Throughout my career in finance, consulting, and cloud analytics, I’ve contributed to projects involving data migration, warehouse modernization, predictive analytics, automation, and CI/CD-driven deployments using tools like Azure DevOps, Git, and infrastructure as code.I\'m passionate about scalable engineering, data quality, reliability, automation, and continuous improvement — and I enjoy working with cross-functional teams in Agile environments to build secure, cost-efficient, and future-focused data solutions that enable faster, data-driven decision-making.
This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.