Bhavsik is a seasoned Data Engineer with over 6 years of experience specializing in data integration and cloud technologies. They have a strong background in Azure Data Factory, Snowflake, and Python, enabling them to deliver high-quality data solutions that drive business insights. Bhavsik has successfully led projects that enhance HR functions and improve decision-making through data-driven dashboards. Their expertise in mentoring junior team members and collaborating with cross-functional teams further showcases their leadership capabilities.
Designed and optimized Snowflake data warehouses for performance.
Engineered real-time HR dashboards that revolutionized recruitment processes.
Mentored junior team members in Azure cloud technologies and data engineering best practices.
Conducted validation of accuracy and completeness across more than 10 million rows of data.
Delivered impactful data-driven dashboards that significantly enhanced HR functions.
Acknowledged with 'Best Customer Service' awards in 2020 and 2021 for exceptional customer service and support.
Successfully integrated diverse data sources into Azure Cloud, ensuring efficient ETL processes.
Improved processing times and resource utilization through performance tuning of data integration pipelines.
Overview: This project focused on developing dynamic dashboards for a 5000+ employee company. Responsibilities: Engineered real-time HR dashboards for onboarding, performance metrics, and leave management. Revolutionized recruitment with data-driven dashboards for candidate tracking and scheduling. Developed attendance dashboards, minimizing issues and enhancing workforce management.
Key outcomes:
Successfully delivered data-driven dashboards, enhancing decision-making and transparency.
Contributed to a progressive HR culture.
Overview: This project focused on the prediction of complaints data for medical equipment. Responsibilities: Led the successful integration of diverse data sources into Azure Cloud, Snowflake, and Azure Synapse using Azure Data Factory (ADF). Developed and implemented robust data pipelines using Snowflake, ensuring efficient extraction, transformation, and loading (ETL).
Key outcomes:
Successfully integrated diverse data sources into Azure Cloud.
Ensured efficient ETL processes to meet business requirements.
Overview: Developed an intuitive platform enabling seamless data loading, preprocessing, and modeling without coding. Responsibilities: Harnessed an array of cutting-edge technologies throughout the project lifecycle. Employed Azure Data Factory (ADF) to streamline and automate data movement and transformation.
Key outcomes:
Created an intuitive platform for data scientists to work productively without coding effort.
Streamlined and automated data movement and transformation, eliminating manual coding.
Overview: This project involved building a versatile platform within the Azure ecosystem, empowering data scientists. Responsibilities: Leveraged Azure Logic Apps to efficiently orchestrate and schedule data pipelines, enhancing workflow management. Utilized Azure Functions to create APIs, seamlessly interacting with the application's frontend through FastAPI.
Key outcomes:
Ensured data reliability and availability through managed database services.
Achieved improved flexibility and cost-effectiveness through serverless API development.
Bhavsik
Data Engineer