• Over 9 years of industry experience as a Data Analyst with experience in Data Mining, Data Curation, Data Visualization, Data Modelling, and strong understanding of Data Warehouse/Data Mart Design, ETL, BI, OLAP, and client/server applications.• Proficient in the entire data science project life cycle, specializing in data cleaning, extraction, and visualization for large datasets. Skilled in creating ER diagrams and schema.• Expert in crafting SQL queries and optimizing them for Oracle, SQL Server 2008, and Teradata.• Good experience in writing SQL queries and creating database objects like stored procedures, triggers, packages, and functions using SQL and PL/SQL for implementing the business techniques.• Excellent Experience on Teradata SQL queries, Teradata Indexes, Utilities such as Mload, Tpump, Fast Load and Fast Export.• Expertise in leveraging a variety of ETL tools to facilitate seamless data extraction, transformation, and loading processes, ensuring optimal data integration and integrity.• Built ETL pipelines to extract, transform and load into analytical databases, schedule and automated pipelines using Apache Airflow.• Experienced in Python to manipulate data for data loading and extraction and worked with python libraries like Matplotlib, Scikit learn, Seaborn, NumPy and Pandas for data analysis.• Hands-on Deploying reports, creating report schedules, and subscriptions. Managing and securing reports and Proficient in MS Office includes MS Excel, creating spreadsheets, graphs, and dashboard reports.• Worked on creating dashboards in Tableau for reporting and data visualization, and guided business decision – making for multiple stakeholders.• Strong expertise in automating recurring reports using SQL and Python and visualized them on BI platform like Power BI and Tableau.• Utilized advanced Excel functions such as Pivot Tables, SUMIFS formulas, and VLOOKUPs to analyze large datasets and extract actionable insights for decision-making processes.• Experience in SAS Programming, using Base SAS, Macro Facility, Proc SQL, SAS Procedures, SAS Functions, SAS Formats, ODS facility in data scrubbing, manipulation, and preparation to produce summary datasets and reports.