Creating content related to Data Analysis, Data Engineering, and Data Science.

• Design, implement and maintain data ingestion pipelines using AWS Glue, Aws DMS, SSIS, or custom ETL processes to collect data from various sources.• Leveraging PySpark, SQL or AWS Glue to clean, preprocess, and transform raw data to make it suitable for storage in the data warehouse.• Design and develop data warehousing solutions using Amazon Redshift.• Implement the monitoring and logging solution using Python script and CloudWatch to track the health of the pipelines and data warehouse.• Developed the automation scripts using Python, to orchestrate and manage the data pipeline execution.• Over the top of the data warehouse, create interactive reports and dashboards for clients using AWS Quicksight, Microsoft Power Bl, etc.

• Converted Data into actionable insights and analytics for predicting and modeling future outcomes.• Carried feature analysis in Python that contributed to better performance of AI model.• Translate these database reporting needs into SQL queries that extract data and create relevant reports.• Designed and developed OLAP cubes and dimensional models in-order to optimise the reporting pipeline.• Collaborated in moving the AI-FraudEngine (AI based tool to prevent the financial fraud) to Kubernetes

For guide related to different functions in different programming languages; checkout my profile:https://www.educative.io/profile/view/6272480925188096

• Added the features to their website using React and, Python.• Not only developed features but, also ensured its complete testing using Jest and, selenium. • Revamped the Login/Signup for their website.

• Worked on Automating the Medical Appointment Scheduling using Machine Learning.• Strong experience developing, testing, and delivering complete visualization solutions on Power BI.• Recommend new visualization styles to improve dashboard usability and extend customers’ ability to understand analyses.• Create visually appealing and interactive data visualizations that drive action within the business.• Comfortable with accessing SQL databases and writing queries.