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Click here or scroll down to respond to this candidateCandidate's Name
USA PHONE NUMBER AVAILABLE EMAIL AVAILABLEWORK EXPERIENCEDeloitte Analyst September 2021 - January 2023Implemented comprehensive data validation and cleansing routines within the ETL pipeline, leading to a 25% increase in data accuracy and reliability, significantly improving Analytics and enabling more informed business decisions.Integrated e-commerce platforms with external Data Warehouse systems using Azure Data Factory, reducing order processing time by 15% and driving operational Growth in a Fast-Paced environment .Mentored a junior Data Engineer on advanced data engineering techniques and Technical problem-solving, fostering a collaborative team environment and contributing to the successful delivery of Product-focused projects.Designed and Implemented innovative Data Models and data pipelines on Azure, optimizing the order summary page, resulting in a 20% reduction in cart abandonment rates.Collaborated with cross-functional teams to improve the Interface between data systems and e-commerce platforms, ensuring seamless Data Analysis and Analytics, enhancing Web performance, and supporting Product development with actionable insights.Tata Consultancy Services Analyst July 2019 - Aug 2021Developed and maintained robust ETL pipelines using PySpark, facilitating the seamless integration and processing of large-scale data from various e-commerce platforms into centralized Data Warehouse systems, resulting in a 15% improvement in data processing efficiency.Managed and optimized SQL database within the ETL pipeline, enhancing Data Analysis which led to a 25% increase in the accuracy of sales forecasting .Collaborated closely with data scientists and business analysts to deliver precise and timely data through well- structured ETL pipelines, enabling informed, Analytical decisions that resulted in a 20% reduction in marketing spend while maintaining strong sales revenue growth.Enhanced the scalability of ETL pipeline infrastructure using PySpark to handle increasing data volumes from growing online sales, ensuring consistent data flow leading to a 10% reduction in system downtime. Zensar Technologies Intern April 2018 - June 2019Collaborated with senior developers to troubleshoot and resolve bugs impacting the checkout process,.Participated in Analysis and Data Analysis projects to optimize Web performance and user experience. VOLUNTEER WORKSaayam For All Devops Engineer June 2024 - PresentImplemented CI/CD pipelines using GitHub Actions, Docker, AWS automating the deployment process and improving deployment efficiency by 30%, allowing for more frequent and reliable releases.Managed cloud infrastructure on AWS, effectively utilizing services such as EC2 and S3 for enhanced scalability and performance, supporting the organization's cloud-first strategy.Developed Infrastructure as Code (IaC) solutions using Pulumi, ensuring consistent and reproducible infrastructure deployments, which improved overall deployment quality and reduced configuration drift.Collaborated with cross-functional teams to integrate security best practices into development workflows, enhancing application security and compliance with regulatory standards. ACADEMIC PROJECTSCustomer Churn Prediction: Built a model using Random Forest to predict customer churn in e-commerce. Additionally pandas, NumPy, and scikit-learn was used for data manipulation and model implementation and matplotlib or seaborn for data visualization.Real Estate Price Prediction: Developed a model using Random Forest to predict home prices.Utilized Python, pandas, scikit-learn, and matplotlib for data preprocessing, model implementation, and visualization to assist real estate decisions.SKILLSProgramming Languages: Python, PySpark, SQLTools: Visual Studio Code, JIRA, Jenkins, Power BI, Tableau, Databricks, Azure Data Factory Others: Data Models, Data Warehouse, Product Development,Agile, Git, ETL Analytical Skills: Data Analysis, Analytics, Snowflakes Technical Skills: Implementing and optimizing data pipelines and Web interfaces Cloud Technologies: AWS (EC2, S3), Docker, Pulumi, Kubernates DevOps Tools: GitHub Actions, CI/CD PipelineCERTIFICATIONSMicrosoft Azure FundamentalsEDUCATIONUniversity of Cincinnati Cincinnati, OhioMaster of Science in Information TechnologyGPA: 3.96/4.0April 2024Courses: Data Mining and Machine Learning, Principles of Cybersecurity, Technologies for mobile application, Human computer Interaction, Data Driven Cybersecurity, IT Infrastructure Sustainibility. |
