• Developed custom integrations for data ingestion, contributing to the streamlined customer onboarding process and enhancing data accuracy for predictive analytics.• Collaborated closely with the product and engineering teams to identify and build features addressing customer needs, resulting in a 15% increase in operational efficiency and customer satisfaction.• Spearheaded the development of Tableau and Power BI reports for comprehensive data visualizations, directly supporting data-driven strategies and improving daily productivity metrics.• Played a key role in the development and maintenance of data pipelines using Python, ensuring seamless ELT processes and the integrity of data analysis projects.• Developed data inquiries, conducted data exploration, and utilized data mining techniques to determine program effectiveness and predict future performance.• Developed and executed comprehensive analyses of customer behavior, leading to the identification of key trends and opportunities for product enhancement.• Contributed significantly to technical documentation, creating detailed implementation guides and facilitating knowledge sharing within the team, enhancing team efficiency and data handling capabilities.• Maintained robust communication with key customers to understand their business needs, recommending solutions that supported growth and leveraged predictive analytics for strategic advantages.• Demonstrated expertise in SQL and modern data warehouses, utilizing tools like Snowflake to perform advanced statistical modeling and predictive analysis.

• Led development of ETL packages using SQL Server Integration Services (SSIS) to facilitate data ingestion and transformation, aligning with enterprise-level data warehousing needs and supporting customer data analysis projects, which involved extensive use of Python for scripting and automation.• Utilized SQL and Python/R programming languages to extract, clean, and manipulate data from various sources, ensuring data integrity and consistency for analytical purposes.• Utilized advanced statistical methods such as regression analysis, hypothesis testing, and time series analysis to identify trends and patterns in large datasets, resulting in a 15% increase in sales forecasting accuracy.• Pioneered the implementation of custom data integrations which involved creating complex stored procedures and utilizing Common Table Expressions (CTEs) for optimized data loading processes, significantly improving the customer onboarding experience by streamlining technical issues resolution.• Fostered collaboration with product and engineering teams to identify functional gaps in the existing data workflows and proposed solutions that led to the development of new features, thereby facilitating a 10% increase in revenue through data-driven insights.• Authored and updated technical documentation and implementation guides, leveraging my expertise in Python, SQL, and ETL processes, to promote knowledge sharing within the team and the Accenture community, ensuring best practices in data engineering were accessible.• Performed tasks like data cleansing, enrichment, aggregation and normalization within SQL queries using Snowflake.• Established and maintained proactive communication channels with key customers, understanding their business needs and recommending tailored data management and analysis solutions using modern data warehousing tool (Snowflake) and BI tool (Tableau), this initiative helped in nurture customer relationships and boosting their business growth.