Heena Solanki

Client:

1. Aditya Birla Group

2. Hero Motors

Project: ESG Compass

• Developed and implemented customized strategies to meet client needs.
• Created an efficient Data Model to support the project
• Developed Python scripts for extracting data from web services API's and loading into databases.
• Integrated multiple sources of structured and unstructured datasets into a single platform.
• Analyzed large datasets to identify patterns and trends in data.
• Developed automated processes for collecting, organizing, and analyzing big data.
• Built data pipelines using Apache Spark to process large amounts of structured and unstructured data.
• Developed ETL jobs to extract, transform, and load data from various sources into the target system.
• Interlinked older systems with novel platforms including Azure Blob Storage.

Client: American Express

Project: CEE( Customer Engagement Evidence)

• Developed and maintained data pipelines to ingest, transform, validate, and store data in a variety of formats.
• Developed efficient SQL queries to access and analyze extensive data sets.
• Utilized Apache Spark to execute ETL tasks, ensuring the consolidation and enhancement of data originating from various sources into a centralized database.
• Designed efficient database schemas according to user requirements.
• Automated processes were implemented to ensure precise data flow between systems.
• Developed visually appealing BI data analysis tools using a range of software, including PowerBI and QlikView.