data engineer resume example with 3+ years of experience

(555) 432-1000,
, , 100 Montgomery St. 10th Floor

Motivated and certified Google Data Engineer Professional with an MSc in Advanced Computer Science, offering a unique combination of strong communication, analytical thinking, and technical skills. Proficient in SQL, Sheets, Excel, Power BI, and Python. Key highlights of my experience include:

  • Building robust reporting data models that seamlessly integrate and unify data from diverse systems, employing data cleansing and ETL processes to ensure accurate representation of the business.
  • Developing interactive dashboards to monitor performance metrics, enabling stakeholders to make informed decisions and drive operational excellence.
  • Facilitating end-user empowerment by delivering comprehensive training sessions, enabling individuals to generate their own reports and derive actionable insights
  • Databases Business
  • Intelligence (BI)
  • Data Visualization
  • SAN Technologies
  • SQL Transactional Replications
  • Data Analytics
  • Security Protocols
  • Quality Analysis
  • Data Mining
  • Enterprise Information Architecture
Education and Training
University of Hertfordshire United kingdom, Expected in 10/2022 Master's Degree : Advanced Computer Science - GPA :
Andhra University India, Expected in 03/2018 Bachelor of Technology - BTech : Computer Science - GPA :
  • Google Data Analytics
Bank Of America Corporation - Data Engineer
Billings, MT, 01/2023 - Current
  • Developed and maintained complex ETL workflows using SSIS, ensuring efficient data extraction, transformation, and loading processes. Reduced data processing time by 40%, resulting in faster data availability for analysis.
  • Utilized MSBI (Microsoft Business Intelligence) tools to design and implement data integration solutions. Improved data quality by implementing data cleansing techniques, leading to a 25% reduction in data errors.
  • Leveraged Azure Data Factory to orchestrate and automate data pipelines across various data sources and destinations. Increased data pipeline efficiency by 30%, enabling timely and accurate data delivery.
  • Implemented data integration solutions for cloud-based architectures using Azure Data Factory. Successfully migrated on-premises data to the cloud, resulting in a 50% reduction in infrastructure costs.
  • Collaborated with cross-functional teams to gather requirements and design data models that met business needs. Improved data accessibility and analysis capabilities, resulting in a 20% increase in data-driven decision-making.
  • Developed data pipelines in Azure Data Factory to process large volumes of data from various sources. Achieved a 35% improvement in data processing efficiency, enabling faster insights and analysis.
  • Designed and implemented scalable data storage solutions in Azure, including Azure SQL Database and Azure Data Lake Storage. Increased data storage capacity by 50%, accommodating growing data volumes.
  • Implemented data governance and security measures in Azure Data Factory, ensuring compliance with industry regulations. Strengthened data protection and reduced security risks by 30%.
  • Conducted performance tuning and optimization of data workflows in SSIS and Azure Data Factory. Achieved a 25% improvement in data processing performance through optimization techniques.
  • Provided technical support and troubleshooting for SSIS, MSBI, and Azure Data Factory. Reduced system downtime by 30% through prompt issue resolution and proactive monitoring.
Leidos - Data Analyst
Lincoln, NE, 02/2022 - 01/2023
  • Built and maintained complex data models in Power BI, enabling the creation of interactive visualizations for business users. Improved data accessibility and analysis capabilities, resulting in a 20% increase in data-driven decision-making.
  • Developed and optimized SQL Server queries and stored procedures for efficient data extraction, transformation, and loading (ETL) into Power BI. Reduced data processing time by 30%, ensuring data accuracy and completeness.
  • Designed and implemented Power BI dashboards and reports that provided key business insights. Increased stakeholder satisfaction by 25% through the delivery of actionable visualizations.
  • Created calculated measures, hierarchies, and Key Performance Indicators (KPIs) in Power BI, enhancing the understanding of business performance and trends. Enabled stakeholders to monitor and evaluate performance metrics effectively.
  • Collaborated closely with business users to identify reporting requirements and ensure reports and dashboards aligned with their needs. Increased user adoption by 15% through tailored and user-centric reporting solutions.
  • Configured and managed data gateways in Power BI, ensuring secure connectivity to on-premises data sources, including SQL Server databases. Strengthened data governance and security measures.
  • Worked in close collaboration with IT teams to troubleshoot and resolve issues related to Power BI reports, data sources, and connectivity. Achieved a 20% reduction in resolution time for reported issues.
  • Conducted training sessions for business users, empowering them to analyze and visualize data independently using Power BI. Enhanced user proficiency and self-sufficiency, resulting in a 30% decrease in support requests.
  • Proactively stayed updated with the latest Power BI and SQL Server technologies, attending conferences and training sessions. Applied new knowledge and skills, resulting in improved efficiency and optimized use of tools
Insource Services - Data Analyst Intern
Concord, NH, 01/2021 - 01/2022
  • Developed and maintained interactive dashboards and reports using Power BI, providing key insights into business metrics and trends. Increased data visualization efficiency by 20%, resulting in improved decision-making processes.
  • Leveraged Python, including libraries such as Pandas and Numpy, for data cleaning, manipulation, and analysis. Reduced data cleaning time by 30%, enabling faster data-driven insights.
  • Utilized SQL Server to query, extract, transform, and load data from multiple sources, resulting in a 15% improvement in data processing efficiency.
  • Created efficient data models in Power BI by designing optimized relationships and hierarchies, implementing business rules, and improving performance by 25%.
  • Conducted exploratory data analysis on large datasets using Python, identifying patterns, trends, and outliers to inform strategic business decisions. Generated actionable insights, contributing to a 10% increase in revenue.
  • Worked with Azure to build and deploy cloud-based solutions, leveraging services such as Azure Data Factory, Azure Key Vault, and Azure SQL Database. Streamlined data processing and reduced deployment time by 20%.
  • Collaborated with cross-functional teams to gather requirements, understand business needs, and deliver actionable insights. Demonstrated effective communication and collaboration skills, resulting in a 15% improvement in team productivity.
  • Developed automated scripts and workflows using Python and Power Automate, improving data processing efficiency by 25% and reducing manual efforts.
  • Conducted A/B testing and experimentation using Power BI, testing hypotheses and evaluating the impact of changes on business metrics. Increased conversion rates by 10% through data-driven optimization.
  • Implemented data quality checks and validations, ensuring the accuracy and consistency of data across various systems and processes. Reduced data errors by 20% through effective data quality management.
1-800-Flowers.Com, Inc. - Junior Data Analyst
Obetz, OH, 03/2019 - 09/2020
  • Developed a reporting data model that consolidated data from multiple disparate systems into a single, unified system. Implemented data cleansing and Extract, Transform, Load (ETL) processes to ensure data accuracy and integrity. Utilized Microsoft Power BI for reporting, resulting in a streamlined and efficient reporting system.
  • Maintained and enhanced existing data collection processes, leading to improved data quality and accuracy. Created interactive dashboards to monitor performance metrics, resulting in a 15% increase in operational efficiency.
  • Proactively identified and incorporated new data sources, working closely with consultants to deliver customized data for clients. Conducted data modeling exercises to generate market sizing and forecasting reports, contributing to a 10% improvement in client satisfaction.
  • Created reports using various data providers such as Universes, Stored Procedures, Free hand SQL, and Data Files (Excel Sheets and Text Files). Implemented these reports, resulting in a 20% reduction in report generation time.
  • Implemented security access management by creating user accounts, groups, and folders, using Supervisor. Developed a comprehensive universe user documentation guide, improving user understanding and minimizing support requests by 25%.
  • Provided end-user training to empower them to generate their reports effectively. Implemented PL/SQL for the Extract, Transform, Load (ETL) process and incorporated business logic, resulting in a 30% reduction in data processing time during the end-of-year process.
  • Successfully migrated applications between different environments, ensuring smooth transitions and minimizing downtime. Provided on-call support on a weekly basis, addressing critical issues promptly and maintaining system availability at 99.9%.

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Resume Overview

School Attended

  • University of Hertfordshire
  • Andhra University

Job Titles Held:

  • Data Engineer
  • Data Analyst
  • Data Analyst Intern
  • Junior Data Analyst


  • Master's Degree
  • Bachelor of Technology - BTech

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