Pratik Mohod

Dynamic data engineer with extensive expertise in designing, implementing, and maintaining scalable data pipelines. Proficient in data modeling, ETL processes, and leveraging AWS cloud technologies to optimize performance and efficiency. Strong collaborator adept at working cross-functionally to deliver innovative, data-driven solutions that enhance business insights and drive strategic growth. Committed to continuous improvement and staying abreast of industry trends to ensure the delivery of cutting-edge data solutions.

• Experience with common data science toolkits such as Jupyter.
• Able to investigate Data Visualization and summarization techniques conveying key findings.
• Assisted in the design and implementation of a scalable ETL pipeline using Python and Amazon Redshift.
• Knowledge of Python’s Data Analysis and Machine Learning Libraries.
• Knowledge of data visualization technique with Power Bi as well in Quick sight.
• Ability to use Web Scraping Tools as Beautiful Soup.
• ETL Pipelines creation and maintenance with AWS Redshift to AWS S3.
• Automated data extraction from various internal and external systems, to reducing the manual data preparation.
• Handling both batch and real-time data processing ensuring consistency, accuracy, and availability of data across systems.
• Developed ETL pipelines to move data between system and application, ensuring its consistent.
• Handle bot structure and un-structure data, including Text, JSON, XML files.
• Handle large scale databases warehousing projects using AWS technologies like IAM Role. System Manager, EC2, Cloud Watch, Redshift.