principal data engineer resume example with 17+ years of experience
JessicaClaire
, , 100 Montgomery St. 10th Floor, resumesample@example.com
Professional Summary
Highly skilled and results-driven Data Engineer Lead with 17 years of experience in designing, implementing, and managing data infrastructure solutions. Seeking a challenging role where I can utilize my technical expertise, leadership abilities, and strategic mindset to drive innovation, optimize data infrastructure, and deliver actionable insights.
Extensive experience in data engineering, data warehousing, and data integration, with a focus on developing scalable and efficient solutions for processing and analyzing large datasets.
Strong understanding of data architecture principles, including data modeling, ETL processes, and data governance, ensuring data quality, consistency, and security.
Proven leadership abilities, leading cross-functional teams, mentoring junior data engineers, and collaborating with stakeholders to deliver successful data engineering projects.
Excellent problem-solving and critical thinking skills, with a demonstrated ability to analyze complex data requirements, identify gaps, and develop innovative solutions.
Strong communication and interpersonal skills, facilitating effective collaboration with technical and non-technical stakeholders, translating business requirements into technical specifications, and presenting data insights to drive strategic decision-making.
Data Engineering: ETL, Data Warehousing, Data Modeling, Data pipelines, SQL, NoSQL, Data Integration
Cloud Platforms: Amazon Web Services (AWS)
Databases: Snowflake, Oracle, Dynamo DB, SQL Server, DB2, Cache
Big Data Technologies: AWS Glue, Hadoop
ETL/ELT Tools: DBT, Datastage, ODI, Informatica
Data Visualization: Power BI, SAS, OBIEE, Cognos
Version Control: GitLab, GitHub, Bitbucket, Nexus, SVN, Serena
Orchestration Tools: Apache Airflow, Control M, Autosys
Data Governance: Data security, compliance, data quality management
Team Management, Leadership, Communication, Problem-Solving
Work History
03/2017 to CurrentPrincipal Data EngineerNfi Industries | Califon, NJ,
Led a team of data engineering squads in designing and implementing scalable data pipelines and data warehousing solutions.
Managed end-to-end data engineering projects, including data ingestion, transformation, and integration, utilizing tools such as AWS Glue, S3, Snowflake, DBT and Datastage.
Led Design, Implementation and adoption of DBT and Global Data Masking Framework across data analytics squads.
Collaborated with stakeholders to understand business requirements and translated them into technical specifications.
Established best practices and standards for data engineering processes to ensure data quality, integrity, and security.
Led effort for DevOps adoption across all warehouse teams. Designed, developed, and implemented CI/CD pipeline for deployment of ETL/Database components that can be leveraged by any team utilizing DataStage as primary tool for ETL development.
Implemented data governance and data lifecycle management strategies, ensuring compliance with regulatory requirements.
Developed and maintained data documentation, including data dictionaries, data lineage, and data flow diagrams.
Conducted performance tuning and optimization of data processes, resulting in improved efficiency and reduced costs.
Mentored and coached team members, fostering their professional growth and providing technical guidance.
Responsible for designing, developing, maintaining logical and physical data models, naming standards, metadata management, data quality, data profiling, and generating DDL for database objects.
01/2008 to 03/2017Lead Data EngineerTransamerica Life Insurance Company | Doral, FL,
Played the role of a Technical Lead/ETL Architect and was responsible for designing the ETL Strategy & Architecture of the Projects.
Worked with cross-functional resources to develop and gain approval for high-level delivery plans of projects based on set of objectives (scope, delivery, and technical approaches, risk, assumptions)
Worked with cross-functional teams to integrate data engineering solutions into existing systems and applications, ensuring seamless data flow and compatibility.
Involved in interaction with business users to gather business requirements.
Responsible for creating and maintaining project plan, providing high-level estimates, delegation of work, managing tasks, and deadlines.
Analyzed and Created detail technical design and Mappings for the team.
Responsible for code reviews, Unit Test cases, and results with data engineers and ensure standards, best practices and processes are followed.
Responsible for researching and presenting new initiatives to Enterprise architecture group for review.
Led initiative and Provided solutions related to performance tuning that resulted in bringing down the Daily SLA of Data warehouse Jobs by 50%(From 6 hours to 3 Hours)
Developed and maintained robust data pipelines and ETL processes to extract, transform, and load data from various sources into data warehouse, ensuring data quality and consistency.
Designed and optimized SQL queries and data transformation processes to improve data processing speed and efficiency.
Implemented data governance processes and data quality checks to ensure data accuracy, compliance, and security.
Conducted performance tuning and optimization of data pipelines, identifying and resolving bottlenecks to enhance overall system performance.
Created interactive dashboards and visualizations using tools like OBIEE and SAS to provide actionable insights to stakeholders and facilitate data-driven decision-making.
03/2007 to 12/2007Data EngineerVerizon Communications | Tulsa, OK,
Assisted in designing and developing data pipelines and ETL processes to extract, transform, and load data into the data warehouse.
Participated in data modeling and database design activities to ensure efficient data storage and retrieval.
Worked closely with data analysts and business users to understand data requirements and provide data insights for reporting and analysis purposes.
Implemented data quality checks and validation processes to ensure data accuracy, completeness, and consistency.
Assisted in troubleshooting and resolving data-related issues, ensuring smooth data flow and optimal system performance.
Collaborated with the team to document data engineering processes, standards, and best practices.
03/2006 to 03/2007Data EngineerVerizon Communications | Greenwood Village, CO,
Assisted in the development and maintenance of data pipelines and ETL processes.
Participated in data modeling and database design activities.
Performed data extraction, transformation, and loading tasks.
Assisted in troubleshooting and resolving data issues.
Conducted data quality checks and validations.
Education
Expected in 04/2005 to to Master of Science | Computer Science And ProgrammingUniversity Of Greenwich, London, GPA:
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