sr data engineer resume example

In the course of this project, I leveraged various data analysis tools such as Python and its associated libraries, SQL, Excel, and Tableau to provide valuable insights into the workforce for a multinational corporation. Through collaborative efforts with cross-functional teams, I proactively identified pertinent business challenges and potential areas for optimization. My primary responsibility entailed spearheading the development of automated reports and interactive dashboards, which empowered stakeholders with effortless access to vital metrics and emerging trends.

• Conducting A/B testing, I evaluated the impact of different strategies and provided data-backed recommendations for improvement.
• I presented my findings and recommendations to senior management, empowering them to make informed decisions.
• Throughout the project, I applied my expertise in data analysis and collaboration to deliver impactful results and contribute to the company's success.
• Conducted data analysis and generated insights to inform business decisions and improve operations in a Investment company.
• Collaborated with cross-functional teams to identify business problems and opportunities for optimization.
• Developed and maintained automated reports and dashboards using Tableau for stakeholders to monitor KPIs and track progress towards goals.
• Conducted A/B testing to evaluate the impact of different business strategies and provide recommendations for improvement.
• Conducted market research and analyzed customer data to identify trends and inform marketing and sales strategies.
• Cleaned and processed large datasets using SQL and Python to ensure accuracy and consistency in reporting.
• Presented findings and recommendations to senior management and other stakeholders in clear and concise visualizations.
• Utilized Azure Databricks to develop and maintain data pipelines to ingest, process, and store large volumes of data from various sources.

I collaborated with the Data Analytics and Reporting (DART) team on a project aimed at delivering high-quality dashboards and valuable insights for executive leadership. The objective was to enable them to effectively monitor key performance indicators (KPIs), drive business strategies, and make informed investment decisions. As a member of the team, I took the initiative to address a loosely defined problem statement. This involved identifying and acquiring the necessary data, designing and constructing the dashboards, creating automated workflows, and meticulously documenting the entire process. Through my contributions, we successfully delivered impactful solutions that empowered executive leadership with the information needed to steer the business towards success.

• Developed predictive models to forecast financial outcomes, such as loan default rates , using both supervised learning methods
• Collaborated with cross-functional teams to design and execute experiments, test hypotheses, and validate model performance
• Utilized Azure Databricks to process and analyze large volumes of financial data from various sources, including structured and unstructured data
• Designed and developed data pipelines using Azure Databricks to ingest, process, and store financial data in a secure and compliant manner
• Built data visualizations and dashboards using tools such as Power BI to communicate insights and recommendations to business stakeholders
• Conducted A/B testing and other experiments to evaluate the impact of data-driven interventions on business outcomes
• Maintained up-to-date knowledge of industry trends and best practices in data science, machine learning, and artificial intelligence, and applied this knowledge to improve the quality and relevance of financial analysis and insights
• Worked closely with other data scientists, engineers, and business stakeholders to identify opportunities for process improvement and innovation, and to develop and implement solutions that drive business value.