Komal Kalpesh Saraiya

• Lead end-to-end delivery of data solutions, ensuring alignment with business priorities and stakeholder needs • Mentor and supervise a junior team member; delegate tasks, provide guidance, and support professional growth • Operate with increased autonomy and drive process improvements in data workflows • Maintain hands-on involvement in data pipeline development, reporting, and data engineering tasks

• Managed projects as the single point of contact • Provided data engineering support for projects, tailoring solutions to meet unique requirements, using T-SQL • Developed and maintained 6+ Tableau reports to visualize most important KPIs and support decision-making processes • Owned data pipelines built using Azure Synapse Analytics & LogicApp • ETL using Data-Vault 2.0 • Provided Ad-Hoc support to the team whenever necessary • Worked closely with Stakeholders, on Product Stock and Revenue data

• Gathered, stored, and visualized clinical data • Created Python and SQL-based pipeline to import clinical data from CSV/TAB files to PostgreSQL database • Collected clinical data from managers and scientists • Engaged with data managers, scientists, and stakeholders to discuss project plan, data understanding, and pipeline design • Constructed tables and metadata based on SDTM standard (used for storing clinical data) • Scheduled meetings, maintained documentation, and tracked progress

• Topic:Pre-clinical and clinical data management, reporting & visualization • Developed an efficient data pipeline utilizing the ETL process to handle Clinical data stored in flat files, using Python & SQL • Executed steps encompassing requirement gathering, data exploration & modeling, data validation, transformation, loading, & visualization using Tableau dashboards • Conducted a comparative analysis of data pipelines between Clinical and Preclinical data, identifying similarities and differences

1. Assisted Lead Data Scientist in building a data pipeline for R&D data, specifically with Loading, Data enrichment and Transformation 2. Worked on transforming JSON data and load it into tables using PostgreSQL procedures 3. Created an Excel Add-In using VBA, for end-users, as part of Business Intelligence 4. Helped create Progress Reporting via Email using Python, PostgreSQL and HTML 5. Assisted in running quality checks on data and fixing data issues 6. Built Views and Trigger functions

1. Communicated with at least 10 different people every day. This included the customers using Microsoft’s technologies in different countries, the consultants of Microsoft, Technical Account Managers and the Technical leads 2. Provided support over call for MNCs or Government organisations that purchased Microsoft Productsin the North America, Europe and Middle East Regions 4. Have worked on many Critical cases where entire organisations were highly impacted

1. Attended Technical training provided by Microsoft 2. Learnt the over view of Microsoft Products such as Windows, Office, Exchange and Active Directory.

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