Summary
Overview
Work History
Education
Skills
Certification
Work Availability
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Timeline
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Chris Shepherd

Palm Bay,FL

Summary

Knowledgeable Principle Data Engineer with robust background in data architecture and pipeline development. Proven ability to streamline data processes and enhance data integrity through innovative solutions. Demonstrates advanced proficiency in SQL and Python, leveraging these skills to support cross-functional teams and drive data-driven decision-making.

Overview

18
18
years of professional experience
1
1
Certificate

Work History

Principal Data Engineer

RxBenefits
11.2023 - Current
  • Designed and implemented data pipelines to streamline data processing and improve system efficiency.
  • Collaborated with cross-functional teams to identify data requirements and optimize database structures.
  • Developed ETL processes using SQL and Python, enhancing data accuracy and accessibility for analytics.
  • Provided technical guidance and mentorship to junior team members, fostering a collaborative learning environment within the organization.
  • Increased efficiency of data-driven decision making by creating user-friendly dashboards that enable quick access to key metrics.
  • Designed scalable and maintainable data models to support business intelligence initiatives and reporting needs.
  • Established robust monitoring processes to detect system anomalies.
  • Designed data models for complex analysis needs.
  • Developed database architectural strategies at modeling, design, and implementation stages to address business or industry requirements.
  • Led initiatives to automate reporting processes, reducing manual work and increasing operational efficiency.
  • Evaluated new tools and technologies, recommending solutions that align with business goals and enhance performance.
  • Ensured compliance with data governance policies through regular audits and documentation of processes.
  • Optimized existing workflows by implementing advanced data modeling techniques, driving improvements in project delivery timelines.
  • Collaborated on ETL (Extract, Transform, Load) tasks, maintaining data integrity and verifying pipeline stability.
  • .Fine-tuned query performance and optimized database structures for faster, more accurate data retrieval and reporting.
  • Enhanced data quality by performing thorough cleaning, validation, and transformation tasks.
  • Optimized data processing by implementing efficient ETL pipelines and streamlining database design.
  • Migrated legacy systems to modern big-data technologies, improving performance and scalability while minimizing business disruption.

Senior Staff Engineer

NAVEX Global
04.2012 - 11.2023
  • Collaborated on ETL (Extract, Transform, Load) tasks, maintaining data integrity and verifying pipeline stability.
  • Designed and implemented effective database solutions and models to store and retrieve data.
  • Built databases and table structures for web applications.
  • Developed, implemented and maintained data analytics protocols, standards, and documentation.
  • Analyzed complex data and identified anomalies, trends, and risks to provide useful insights to improve internal controls.
  • Explained data results and discussed how best to use data to support project objectives.
  • Designed and developed analytical data structures.
  • Generated detailed studies on potential third-party data handling solutions, verifying compliance with internal needs and stakeholder requirements.
  • Designed compliance frameworks for multi-site data warehousing efforts to verify conformity with state and federal data security guidelines.
  • Monitored incoming data analytics requests and distributed results to support strategies.
  • Analyzed large datasets to identify trends and patterns in customer behaviors.
  • Compiled, cleaned and manipulated data for proper handling.
  • Collaborated with cross-functional teams to define data requirements and optimize integration processes.
  • Led initiatives to improve data quality through rigorous validation and cleansing procedures.
  • Mentored junior engineers in best practices for data modeling and database management techniques.
  • Established monitoring systems to track performance metrics of data infrastructure, ensuring optimal operation.
  • Designed data models for complex analysis needs.
  • Developed database architectural strategies at modeling, design, and implementation stages to address business or industry requirements.

Product Engineer

Horizon Software International
06.2007 - 04.2012
  • Drafted clear technical documentation, detailing product design specifications.
  • Identified new ideas, products and/or features that improved customer satisfaction, reduced costs and kept product line in forefront of industry.
  • Collaborated with cross-functional teams to conceptualize and refine product concepts.
  • Led continuous improvements in engineering, resulting in clearer product design standards, better manufacturability and reduced engineering cycle time.
  • Tested completed projects for functionality and implemented changes to production methods to rectify issues in final products.
  • Launched customer-driven design review process to enhance customer experiences and efficiency.
  • Directed, guided and monitored support engineers and in-house operational personnel.
  • Directed, mentored and monitored support engineers and personnel for improved deployment and operations.
  • Led root cause analyses to identify and address problems in industrial production.
  • Analyzed data to identify trends in production and maintenance costs and developed strategies to reduce expenses.
  • Designed and tested product prototypes to enhance functionality and performance.
  • Recommended solutions, built custom proposals, prepared supporting information and delivered presentations to boost sales.
  • Managed project deliverables for customer orders.

Education

Bachelor of Arts - Multimedia

ITT Technical Institute
Duluth, GA
04.2007

Skills

  • Developed Data Model and Data Mart for NAVEX and RX Benefits
  • AWS: Lambda functions, S3 buckets, Amazon Aurora, Document DB, DynamoDB Amazon Redshift, Glue and DMS
  • Programming Languages: C#, JavaScript, Jinja, Python, SQL
  • Databases & Tools: SQL Server 2005, PostgreSQL, Snowflake, MySQL, CDS, Parquet
  • Modeling Tools: Erwin Data Modeler, Visio, and Power Designer
  • Data Modelling Skill: Requirement Gathering, Profiling, and Analysis for LDM, PDM for OLTP and OLAP systems, Maintenance of ERWin models, using Forward/Reverse Engineering and Complete Compare utilities
  • Reporting Tools : Infor Birst, Power BI and Tableau
  • ETL Tools : AirByte, DBT, Fivetran Rivery and SSIS
  • Storage Virtualization
  • Advanced Analytics
  • Data and Risk Analysis
  • Technology Leadership Work Streams
  • Data Governance

Certification

  • Big Data on AWS
  • Planning and designing databases on AWS
  • Snowflake SnoPro Data engineer

Work Availability

monday
tuesday
wednesday
thursday
friday
saturday
sunday
morning
afternoon
evening
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Quote

Every problem is a gift—without problems we would not grow.
Tony Robbins

Timeline

Principal Data Engineer

RxBenefits
11.2023 - Current

Senior Staff Engineer

NAVEX Global
04.2012 - 11.2023

Product Engineer

Horizon Software International
06.2007 - 04.2012

Bachelor of Arts - Multimedia

ITT Technical Institute

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Chris Shepherd