Aayushi Sharma

• Built and managed end-to-end data pipelines using Azure Data Factory, Azure Databricks (PySpark), Snowlake and ADLS to process high-volume equities and listed derivatives trade data, enabling batch surveillance for compliance teams.
• Developed scalable ingestion, transformation, and monitoring frameworks to support complex trade surveillance use cases, such as market dominance, wash trade detection, cross-trade identification, and front-running (FRO) scenarios.
• Implemented surveillance logic using PySpark and Python, automating rule execution, data enrichment, exception handling, and compliance reporting within ADF-orchestrated pipelines.
• Demonstrated strong collaboration with compliance, risk, and technology teams while independently driving technical solutions; recognized for analytical problem-solving, structured execution, adaptability, and clear communication in regulatory and high-stakes environments.

Project- Investment Trading application for Front and Middle office – Black Mountain System

• I oversaw the end-to-end testing of all components, ensuring a seamless launch of the application tailored for the client's new fund, Private Credit Opportunity (PCO).
• I conducted functional, regression, and automation testing for CIG (Credit Investment Group), a leading provider of leveraged finance solutions.
• Executed, created, and maintained automation scripts utilizing TestNG, Java, Selenium, and the Page Object Model (POM) design pattern.

E-commerce website.

• The website catered to both wholesale and retail customers, offering a wide range of products designed and developed in-house.
• I collaborated closely with Business Analysts and the team to understand requirements thoroughly, prepared test plans, wrote detailed test cases, and ensured their successful execution.
• Performed functional testing, GUI testing, smoke and regression testing, suite execution, and report analysis.