Involvement in projects within a digital banking environment, focusing on processing and analyzing marketing data to deliver actionable insights to the leadership team. The role requires leveraging advanced tools and technologies, including Databricks, S3, and Google Big Query, to drive data-driven decision-making. Key Responsibilities and Achievements:- Collaborating closely with stakeholders to understand business rules and requirements, ensuring that technology solutions align with strategic objectives.Building and optimizing ETL processes in Databricks, utilizing Spark, Python, and SQL to handle large datasets efficiently.- Orchestrating workflows using the built-in workflows module in Databricks to ensure seamless data integration and processing.- Leading the validation of data ingestion from Appsflyer via Data Locker to S3, employing Databricks for data querying and manipulation, and enhancing pipelines to process and enrich data. This effort supports the creation of detailed reports on customer acquisition, segmented by media, including CPA and other marketing metrics.- Spearheading the adoption of a state-of-the-art attribution model based on Markov chains, revolutionizing the approach to attribution and delivering valuable insights that drive impactful marketing decisions.- Designing scalable data solutions using AWS, leveraging services like S3, Lambda, Athena, Glue and RedShift to streamline data processing, enhance ETL workflows, and ensure efficient data storage and retrieval for analytics.- Collaborating with an Agile team to develop innovative data solutions that significantly enhance efficiency and productivity.

Responsible for leading projects that enhanced the automation, communication, and data processing capabilities within the Fabric Care OT systems. This role involved managing complex technical integrations and expansions, which directly contributed to the efficiency and reliability of production processes. Key Responsibilities and Achievements:- Collaborating closely with stakeholders to understand business rules and requirements, ensuring that technology solutions align with strategic objectives.- Spearheaded the integration of a novel modular process skid into the Fabric Care OT systems, establishing seamless communication between an Allen Bradley PLC and a Siemens PLC using an OPC (Open Protocol Communication) application.- Led the integration and automation of two newly introduced raw material tanks, ensuring precise control of valves and pumps through a supervisory system. Conducted thorough safety and reliability studies to guarantee a stable and secure process.- Served as both a technical leader and project manager, overseeing projects aimed at expanding the capacity of the OT network servers. Managed a critical project to extract data related to the consumption of water, air, gas, electricity, and steam, enabling comprehensive descriptive, comparative, and predictive analyses focused on improving energy efficiency.

Contributed to the development and optimization of data-driven solutions, focusing on data processing, automation, and tool enhancement within the organization. This role involved leveraging programming skills and ETL processes to improve data accessibility, reliability, and performance. Key Responsibilities and Achievements:- Collaborated closely with stakeholders to understand business rules and requirements, ensuring that technology solutions align with strategic objectives.- Developed Python applications that integrated various data sources, including SQL Server and Databricks. These applications processed and transformed data into actionable information using SQL and Python libraries such as Pandas, and presented the results through user-friendly graphical interfaces.- Enhanced the ETL process within departmental tools by migrating from Knime to Python, resulting in significant performance improvements and reliable automation, which minimized the need for manual interventions.- Revamped an Excel tool using VBA, improving the user experience by automating processes and creating a password-protected area for administrators. This ensured the tool’s integrity and allowed authorized maintenance.- Led the automation of data processing, connecting dashboards with SQL Server databases and Azure Databricks. This automation facilitated access to current business information in a secure and reliable way, saving the team considerable time during consultations.- Managed an NSS project for NWOC changes on Taped products, including developing a learning plan, leading EOs, conducting statistical analysis, and providing final recommendations to leadership.

Engaged in the optimization of production processes within the paper manufacturing department. The role involved applying data-driven solutions to enhance efficiency and streamline operations. Key Responsibilities and Achievements:- Collaborated closely with team members to understand production processes and requirements, ensuring that technology solutions effectively addressed operational challenges.- Implemented data mining and automatic reporting on paper production using Python, significantly reducing the time required for manual data analysis and reporting.- Automated Excel spreadsheets using VBA and Python, improving the accuracy and efficiency of data handling and reporting tasks.Created a comprehensive guide for all apprentice roles in the paper machine department, streamlining the training process for new hires and reducing the time needed for onboarding.