- Leveraged data analysis techniques to identify potential automation opportunities by analyzing customer processes and historic data, with a focus on improving efficiency and productivity. - Conducted comprehensive requirement analysis and feasibility studies for automation use cases, considering data availability, quality, and integration requirements. - Designed and implemented data-driven automation solutions, ensuring scalability, performance, and optimal data pipeline architecture. - Developed and maintained fully automated reporting mechanisms using IGNIO, Python, PowerShell, Groovy, Bash, and other relevant tools, ensuring regular audit compliance and providing actionable insights. - Collaborated with cross-functional teams to understand business objectives and translate them into effective automation solutions, addressing data ingestion, transformation, and integration requirements. - Implemented data quality measures and performed performance analysis to ensure accuracy, reliability, and efficiency of automation processes. - Led and managed a team, providing technical guidance, setting project goals, and ensuring successful project delivery. - Worked closely with stakeholders to gather requirements, provide data-driven insights, and recommend improvements for automation solutions. - Stayed up to date with emerging data engineering technologies and best practices, evaluating and implementing new tools and techniques to enhance data processing and automation capabilities. - Collaborated with IT teams to integrate automation solutions with existing systems and workflows, ensuring seamless data flow and interoperability. - Conducted data modeling and schema design to facilitate efficient data storage and retrieval in support of automation initiatives.