Ajinkya Sadre

Project - Manufacturing Utility, Agriculture, Irrigation.

Analytical Tools: Power BI.

Platform: Azure Databricks, PLSQL, Fivetran, Alteryx.

Language: Python, SQL.

Skill Set: Gen AI/ML, Core C Programming, DSA.

• Performed advanced analytics on structured and unstructured data using SQL, Python, R.
• Code refactoring using AI foundations.
• Created ETL scripts to move and transform data from various sources into a centralized repository.
• Built complex reports utilizing multiple sources of information from different systems.
• Conducted research on new technologies related to Data Science and Machine Learning.
• Designed and built dashboards to visualize the results of data analyses.
• Developed and implemented data science models using Python libraries such as Pandas, NumPy and Scikit-Learn.
• Collaborated with cross-functional teams to understand end-user requirements and propose Python-based solutions.
• Utilized Python to handle debugging and automation scripting tasks.

Healthcare project based in the USA.

Client: 'Pfizer'

Responsibilities-

• Developing and maintaining end-to-end operations of ETL data pipelines, and working with large datasets in Azure Data Factory.
• Performed extensive debugging, data validation, error handling mechanisms, transformation types, and data cleanup analysis within large data sets.
• Working on CI/CD using Azure DevOps.
• Prepared the Azure Data Factory pipelines based on business requirements using different activities, like copy activity, stored procedure activity, lookup activity, if condition, for each, and so on.
• Implemented the data flow logic to perform transformation in Azure Data Factory.
• Implemented the dynamic data set components to work for different modules.
• Created datasets in ADF as per the requirements to identify data, such as relational tables, folders, files, etc. Within the linked data servers.
• Worked in a metadata-driven, parameterized ADF pipeline framework to read/write data from various sources and targets.
• Created SQL Server Polybasic scripts to create external tables on files stored in Azure Blob Storage.
• Developed Databricks notebooks and SQL Server stored procedures to apply business transformation rules on source data, and to merge into the Azure Synapse Analytics data warehouse.

Healthcare project based in the USA.

Client: 'Empirica'.

Responsibilities -

• Implement data flows, and set up automation between various data sources.
• Maintain data documentation and definitions.
• Create datasets in ADF as per the requirements to identify data, such as relational tables, folders, files, etc. Within the linked data servers.
• Research and implement various components, such as pipeline, activity, mapping data flows, data sets, linked services, triggers, and control flows.
• Strong understanding of DevOps tasks (code merging, deployments, and release management).

AI Projects based in USA.

Client - 'DMV'.

Responsibilities -

• Automated functional and regression testing approaches to streamline software production.
• Conducted performance testing using Jmeter tool.
• Conducted manual test scripts as per the requirements of the project.
• Collaboration with software developers and project supports to determine Project scope.
• Detects, logs and reports program bugs and glitches
• Conducting critical path testing towards project deadlines.
• Works with a cross functional team to ensure quality throughout SDLC.