Location: Indore, M.P. 452016
Phone: 8989059838
Email: rohitbhandari.work@gmail.com
LinkedIn: linkedin.com/in/rohitonlinked
Results-oriented Data Engineer with 4+ years of experience in building and optimizing ETL workflows, data pipelines, and architecting scalable data solutions. Proficient in cloud technologies and committed to driving business growth through data-driven insights and innovations.
Skills:
- PySpark
- SQL
- Python
- Azure
Data Engineer
June 2021 – Present
- Facilitated the development of robust data pipelines for migration and transformation by gathering data requirements from multiple sources, performing data inventory, and ensuring data quality throughout the process.
- Developed transformation notebooks and integrated them into Azure Data Factory (ADF), automating and optimizing the data transformation process to streamline reporting and analytics.
- Spearheaded the deployment of notebooks and pipelines across various environments using CI/CD methodologies, ensuring smooth integration and reducing the deployment time by 20%.
- Collaborated with cross-functional teams to identify and recommend improvements to existing data solutions, enhancing system performance and scalability.
- Provided technical guidance and support in resolving issues related to data migration, ensuring smooth project execution and minimizing disruptions to ongoing operations.
Data Analyst and Cloud Engineer
January 2020 – June 2021
- Led the development of AI-based web applications using Django, focusing on scalable architecture and seamless integration with machine learning models.
- Designed and implemented machine learning models with a focus on natural language processing (NLP), providing predictive analytics and insights that improved decision-making processes.
- Developed and maintained a COVID-19 spread analysis dashboard, using real-time data and predictive algorithms to forecast future trends, which was used by management for strategic planning during the pandemic.
- Optimized cloud-based infrastructure for deploying machine learning models, ensuring reliability, scalability, and performance in a production environment.
- Worked closely with the project team to automate workflows and data processing pipelines, reducing manual intervention and improving efficiency.
Bachelor of Engineering in Computer Science
SGSITS Indore
Data Science Internship Certificate
INNODATATICS | February 2020 – May 2020