Analytics Engineer

Trevor Johnson

Professional Summary

Detail-oriented Analytics Engineer with hands-on experience building scalable ETL pipelines, designing business dashboards, and transforming complex data into actionable insights. Skilled in SQL, Python, Databricks, Power BI, and cloud platforms. Proven ability to drive data efficiency, lead teams, and deliver measurable business impact in fast-paced environments.

Work Experience

Software Engineering Instructor at TechBridge Education

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 Taught 80+ students Python, SQL, and Java with a focus on ML techniques such as Neural Networks and Regression.  Designed adaptive curriculum for students with learning disabilities, improving comprehension by 75%.  Gained strong experience in communicating complex data topics to non-technical audiences.

Software Engineer Intern at Innovexa Labs

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 Designed and optimized ETL pipelines using Azure Data Factory and Databricks, reducing processing time from 8 hrs to 4 mins (99.17% improvement).  Created a centralized data warehouse for large-scale SQL/Scala data ingestion, enhancing data reliability and speed.  Developed Power BI dashboards using custom DAX measures, improving report performance and interactivity by 20%.  Led a team of 5 interns and collaborated with stakeholders to define data requirements and deliver a usable analytics product.

Data Analyst Intern at Brightlytics Inc

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 Cleaned and processed 20+ datasets using Python and Pandas, improving reporting turnaround and data accuracy.  Applied Linear Regression and Random Forest models, achieving over 90% accuracy across various prediction tasks.  Created compelling Power BI reports with executive-level summaries to support strategic decisions.

Education

Bachelor of Arts in Computer Science 6 Economics

California State University, Fullerton

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Skills

Technical Skills

  • Python
  • SQL
  • Java
  • C++
  • Scala
  • Azure Data Factory
  • Databricks
  • Power BI
  • Pandas
  • DAX
  • Microsoft Excel
  • PostgreSQL
  • MySQL
  • MongoDB
  • Firebase
  • React
  • Node.js
  • RESTful APIs
  • GitHub
  • Jenkins
  • Azure
  • AWS
  • GCP
  • Agile (Scrum/Kanban)
  • CI/CD
  • Unit Testing
  • Integration Testing

Soft Skills

  • Detail-oriented
  • Team Leadership
  • Communication
  • Collaboration
  • Adaptability
Score
85/100
Education
70/100
Header
85/100
Profile
88/100
Certifications
0/100
Skills
90/100
Work Experience
87/100
Projects
75/100
Add certifications or relevant professional training to validate skills and increase ATS keyword hits.
Enhance education section with start dates, relevant coursework, and standardized formatting.
Standardize bullet formatting across work experience and projects to improve readability and ATS parsing.
Include employment type and clearer timelines for all roles and projects.
Add measurable outcomes or impact statements to projects to demonstrate value.
Strong technical skill set covering a wide range of programming languages, cloud platforms, and data tools.
Quantifiable achievements in work experience demonstrating measurable impact (e.g., ETL pipeline optimization).
Clear and concise summary with relevant keywords aligned with analytics engineering roles.
Experience leading teams and adapting curriculum for diverse learners, showing leadership and communication skills.

Education

70%
Education section includes degree, institution, and expected graduation date, which is good.
Add start date or duration to show timeline clearly.
Include relevant coursework, honors, GPA (if strong), or projects to strengthen this section.
Formatting of field of study contains an encoded character (&), replace with standard ampersand for clarity.

Header

85%
Header includes essential contact information and professional headline, which is good for ATS parsing.
Add a full street address or at least a city and state consistently formatted to improve location-based searches.
Use a professional email domain if possible; current Gmail is acceptable but a custom domain can enhance professionalism.

Profile

88%
Summary is concise and keyword-rich, highlighting key skills and accomplishments relevant to analytics engineering.
Consider adding 2-3 measurable achievements or quantifiable impacts directly in the summary to catch recruiter attention quickly.
Add a short objective or profile highlights section to clarify career goals and further tailor for specific roles.

Certifications

0%
Section missing

Skills

90%
Comprehensive hard skills list with relevant programming languages, tools, and cloud platforms demonstrates strong technical breadth.
Soft skills and tools are clearly separated, which helps ATS and recruiters parse skill categories.
To improve, categorize skills by proficiency level or relevance to target roles.

Work Experience

87%
Descriptions include strong action verbs, quantifiable achievements, and relevant technical skills, which improves ATS keyword matching and recruiter appeal.
Use consistent formatting for bullet points (some have unusual Unicode characters) to enhance readability.
Include employment type (e.g., internship, full-time) explicitly for clarity.
Consider adding technologies used per role in a dedicated line to improve keyword density.

Projects

75%
Projects demonstrate practical application of skills and use relevant technologies, which adds value.
Add dates or duration to provide timeline context.
Include specific outcomes or impact metrics where possible to show measurable results.
Clarify your role and technologies used in each project for better ATS keyword matching.
    Analytics Engineer | Trevor Johnson | Resume Template | Yotru