#𝐀𝐛𝐨𝐮𝐭 𝐌𝐞
• I am data engineer with 8+ years of experience in providing solution related to Data engineering and Machine learning using commercial cloud provider (AWS, GCP, Azure).

• My most of the completed project contains Python and SQL at it's core along with cloud and automation tool to gather, transform and save in output format to be use in BI tools.

• Being a fast learner I have created cost efficient and best performant solution and excellent communication skills help me to convince stake holder to implement it.

#𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞:
• Created data lake by accumulating data from various data sources (API, IOT, Databases, Cloud Storage) into S3 and relevant output data pipeline created to filter, transform and save to output location from where BI tool use it to generate dashboards and Reports.

• Created multiple data warehousing solution using AWS RedShift and Snowflake with unstructured data in S3 by following Star, Snowflake or normalize schema along with data modeling and Master Data Management (MDM).

• Created own solution to migrate data from local network drive to cloud by maintaining data security, company policies, and high availability.

• Developed intricate algorithms based on deep-dive statistical analysis and predictive data modelling that can be used to deepen relationships, strengthen longevity and personalize interactions with customers.

• Created many BI dashboard for business users using Power BI and Tableau.

• In most of the project I had created CI/CD pipeline using Docker and Kubernetics and automate the process of testing using source control features or via programing.