Deepak Patil

I am seeking a challenging position that will give me an opportunity to gain knowledge while realizing the vision of the company. I would also like to share my knowledge & skills that can be a contribution to both cooperative growth and personal growth.

• Playing Chess
• Cricket
• Trekking

1] Ingestion 2.0 (streaming data): October 2025 to present

Goal of this project is to get real time data for business validation and audit purposes. In this I mainly used Databricks Cloud files functionality, Serverless cluster on databricks and workflows. As well as Datasphere, adls and SAP S4

2] Galileo (Medallion Architecture): September 2023 to Present

Goal of the project is to extract data from different on-premises sources like oracle databases, SFTP, SAP etc. transform them according to business requirements and load them into ADLS.

It uses ADF, Databricks, SQL Database, DevOps.

3] Asset Development (Gold/AI): December 2023 to Present

Goal of the project is to extract data from different silver layer objects and create gold tables which are based on business requirements

it uses Databricks, Workflows, DevOps

4] Power BI Measures (Power BI Semantic Model): September 2024 – October 2025

Goal of the project is to extract data from gold layer in PBI, creating measures and metrices as per requirement and give it to business after thorough validation. It used PBI, DAX.

5] Spend IQ (Data Agent / SQL Agent): October 2024 to January 2025

Goal of the project is to use gold layer data for generative AI purposes. Using Azure studio creates SQL agent which will use the gold layer data and create an AI based application. Businesses can ask questions on the application created, and they will get the answer based on data.

It used Azure Studio

6] Data Labelling (Machine Learning, US): April 2022 to July 2022

Goal of the project is to extract images from camera videos and then label images and create computer vision models.

7] RFM Segmentation (Data Engineering): November 2020 to April 2022

Goal is to create Clusters of different customers depending upon Recency, Frequency and Monetary values. So, we can divide the customers according to their RFM values and decision makers can take decisions on customers which are loyal, lost etc.

8] Enterprise Data: September 2020 to October 2021

Goal of the project is to extract data from different on-premises sources like oracle database, SFTP servers, SAP etc., transform them according to business requirements and load them into ADLS.

It uses ADF, Databricks, SQL Database, DevOps

• Data Extraction & Processing: Extract data from diverse sources such as SAP Ariba, SFTP, Oracle, and APIs, ensuring structured data ingestion into Azure Data Lake Storage (ADLS).
• Data Transformation: Apply business logic to transform raw data into meaningful insights, optimizing ETL processes for efficiency and scalability.
• Business Support: Collaborate with stakeholders to address data-related requirements, ensuring alignment with operational needs.
• Gold Layer Development: Create gold tables by refining silver-layer objects, enabling structured reporting and analytics.
• Metrics & Reporting: Develop DAX queries and business metrics for Power BI dashboards, ensuring accurate and actionable insights.
• AI Chatbot Development: Design and implement AI-based chatbots using AI Twin Studio, enhancing automated query resolution and user interactions.
• Code Review & Validation: Validate pull requests, ensuring code quality, efficiency, and compliance with best practices in data engineering.