Results-driven Data Analyst & Full Stack Developer with 4+ years of experience, specializing in Snowflake for data warehousing, ETL validation, and analytics. Proven expertise in integrating Salesforce data into Snowflake, optimizing queries, and preparing detailed source-to-target documentation to ensure data quality and reliability. Skilled in building scalable web applications using Python (Flask), SQL Server, HTML, CSS, and JavaScript, with successful delivery of HR and recruitment management systems. Experienced in SAS, Salesforce administration, and Power BI, enabling end-to-end solutions from data ingestion to business insights. Recognized for streamlining workflows, improving analytics efficiency, and enhancing decision-making through data-driven solutions.
Project Description:
The iQ Hire application is a recruitment management system designed to streamline the hiring lifecycle. Built using Flask (Python) for backend logic, HTML/CSS/JavaScript for the frontend, and SQL Server as the database, the system manages recruiters, candidates, jobs, and interview scheduling. The application supports secure login, role-based dashboards, and analytics to improve recruitment efficiency.
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Project Description:
The iQ HR Application is a web-based HR management system developed to streamline employee onboarding and record management. The solution provides a complete flow from employee registration to onboarding forms, with integration between frontend UI and backend SQL Server database through Flask. The application demonstrates the capability to build scalable HR workflows with secure login and dynamic form handling.
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Project Description:
Worked on integrating Salesforce CRM data into Snowflake for advanced analytics and reporting. My role was to create detailed documentation supporting the data migration and transformation process. This included preparing source-to-target mapping documents, data flow descriptions, and table-level metadata to ensure a clear understanding of how Salesforce data is ingested, transformed, and stored in Snowflake.
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The MLS Data Integration & Analytics project focused on consolidating ticketing, customer, and event data from multiple source systems into a centralized Snowflake data warehouse. The solution enabled automated ETL pipelines, near real-time data availability, and advanced reporting for business stakeholders to track ticket sales, fan engagement, and operational KPIs.
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Worked as a Salesforce Administrator to manage user access, configure platform features, and support business teams in leveraging Salesforce CRM effectively. Implemented customizations such as objects, fields, workflows, and automation to align with sales processes. Developed reports and dashboards to deliver actionable insights and conducted training sessions for end-users. Ensured data accuracy, security, and smooth CRM adoption through proactive support and documentation.
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