dev-engineering

Data Engineer

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Ethan Harris

Senior Data Engineer

[email protected] | +1 (555) 234-6789 | linkedin.com/in/ethan-harris-dataeng | github.com/ehtanharris | ehdataengineering.dev | San Francisco, CA

Professional Summary

Senior Data Engineer with 7+ years of experience building reliable batch and streaming data pipelines for analytics, reporting, and product teams. Designed a real-time analytics pipeline for a financial services environment, reducing data latency from hours to minutes. Strong background in Python, SQL, Apache Spark, Kafka, Kubernetes, and cloud data platforms, with a focus on data quality, observability, and maintainable architecture.

Skills

Python, SQL, Apache Spark, Kafka, AWS S3, Snowflake, Kubernetes, Git

Work Experience

Senior Data Engineer

01/2022

Tech Company Inc

San Francisco, CA

Led 5 engineers in migrating legacy batch jobs to containerized Spark and Kafka services, reducing release time by 60% while improving pipeline ownership.

Built automated data validation and regression checks that caught 95% of schema and transformation issues before production deployment.

Mentored 3 junior engineers on SQL optimization, pipeline design, code review practices, and incident response for production data workflows.

Optimized warehouse queries and partitioning strategies, reducing dashboard API response time from 500 ms to 120 ms.

Data Engineer

06/2020 - 12/2021

Data Solutions Corp

San Francisco, CA

Architected and deployed a real-time analytics pipeline that reduced daily data processing delays by 4 hours for finance and operations teams.

Implemented source-to-dashboard data quality checks, reducing recurring customer-reporting errors by 30%.

Data Engineer

09/2018 - 05/2020

Tech Innovations Inc

San Francisco, CA

Developed migration scripts and rollback plans that moved critical datasets to a new warehouse environment without scheduled downtime.

Created governed BI datasets and reporting views that improved analyst self-service access and cut manual reporting turnaround time by 50%.

Projects

Real-Time Streaming Analytics Dashboard

github.com/ehtanharris/realtime-analytics-dashboard

Developed a real-time analytics dashboard using Apache Kafka and Flink to process event streams from multiple sources and surface operational metrics for business stakeholders. Used Python for stream processing services and React.js for focused front-end visualization.

Data Privacy Compliance Tool

Built a Python-based tool that detects and masks sensitive fields in analytics datasets to support GDPR and CCPA workflows. Added configurable rules and model-assisted pattern recognition so teams could review data before sharing it downstream.

Education

Bachelor of Science in Computer Engineering

09/2013 - 05/2017

San Francisco State University

San Francisco, CA

Relevant coursework: Data Structures and Algorithms, Distributed Systems, Database Management. GPA: 3.8

Certifications

AWS Certified Data Analytics - Specialty

06/2025

Amazon Web Services

Validates skills in designing scalable, secure, and reliable analytics solutions on AWS.

Google Cloud Professional Data Engineer

10/2024

Google Cloud Platform

Validates skills in designing, building, and managing production data pipelines on Google Cloud.

Why This Template Works

This resume format works exceptionally well for ATS optimization as it uses clear, concise language and includes specific keywords relevant to the field of data engineering such as big data, scalable architectures, and data pipelines. Additionally, including a professional summary that highlights years of experience and specialized skills ensures immediate recognition by HR systems seeking candidates with extensive expertise in large-scale data solutions. The inclusion of technical skills and certifications further enhances its effectiveness for ATS, providing recruiters and hiring managers with a clear indication of the candidate's capabilities.

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How to Write This Resume

How to Write This Resume

Expert guidelines and best practices for each section of your resume.

01

Contact

Contact

First Name Last Name City, State, Zip Code Phone Number | Email Address LinkedIn Profile URL | Portfolio URL (Optional)

General Guidelines

Your contact information is the first section recruiters see. Keep it concise and professional. Ensure your email address is appropriate (e.g., [email protected]). Include your LinkedIn profile for a comprehensive view of your professional journey. A portfolio or personal website is recommended for creative, technical, or design roles.

Avoid This

Do not include your full physical address (street number/name) for privacy reasons. Avoid including personal details like marital status, age, photo, or social security number unless specifically required in your country. Don't use unprofessional email addresses.

Real Examples

See clear examples of how to format contact details effectively.

Don't

John Doe 1234 Random St, Apt 56 New York, NY 10001 [email protected] github.com/aliciacode Single, 28 years old

Do

John Doe New York, NY (555) 123-4567 | [email protected] linkedin.com/in/johndoe | github.com/johndoe | johndoe.dev

Quick Tips

  • Use a professional email address (firstname.lastname format)
  • Ensure your voicemail is set up and professional
  • Double-check your phone number and email for typos
  • Make your LinkedIn URL custom (linkedin.com/in/yourname)
  • Include GitHub link for developer roles

02

Summary

Summary

Professional Title Result-oriented [Role Name] with [Number] years of experience in [Key Skills/Industries]. Proven track record of [Major Achievement]. Skilled in [Key Technologies/Skills]. Committed to delivering [Specific Value] for [Target Industry/Company type].

General Guidelines

A professional summary is your elevator pitch. It should be 3-5 sentences long, summarizing your experience, key skills, and major achievements. Tailor it to the job description by using relevant keywords. Focus on what makes you unique and the value you bring to potential employers.

Avoid This

Avoid generic objectives like 'Looking for a challenging role to grow my skills.' Recruiters want to know what value you bring to them, not what you want from them. Don't use first-person pronouns (I, me, my). Keep it concise and impactful.

Real Examples

Compare a weak objective with a strong professional summary.

Don't

Objective: I am a hard-working individual looking for a Data Engineer position where I can learn new things and advance my career.

Do

Seasoned Senior Data Engineer with over 6 years of experience in architecting scalable data infrastructure. Successfully scaled small projects to enterprise-wide solutions, enhancing cross-departmental collaboration at Global Innovations Ltd. Skilled in Apache Spark, AWS services, Kubernetes, and MLOps frameworks.

Quick Tips

  • Quantify achievements where possible (e.g., 'Increased revenue by 20%')
  • Keep it under 5 lines for readability
  • Use strong action verbs to start sentences
  • Tailor the summary to match the job description

03

Skills

Skills

Technical Skills - Languages: [List] - Frameworks: [List] - Tools: [List] Soft Skills - [Skill 1], [Skill 2], [Skill 3]

General Guidelines

Group your skills logically (e.g., Languages, Frameworks, Tools). Focus on hard skills relevant to the job. List skills in order of proficiency or relevance. Soft skills are better demonstrated through bullet points in your experience section rather than a bare list.

Avoid This

Do not list skills you are not comfortable using in an interview. Avoid using progress bars or percentages to rate your skills (e.g., 'Java: 80%') as they are subjective and often misinterpreted. Don't include outdated technologies unless specifically required.

Real Examples

Practical example showing do's and don'ts for skills

Don't

Python: 75%, SQL: Advanced, Apache Spark: Intermediate

Do

Languages: Python, SQL Frameworks: Apache Spark

Quick Tips

  • List only your strongest technical skills that are relevant to the job description.
  • Order your skills from most proficient to least proficient or from most used to least used.
  • Avoid listing soft skills in this section; instead, highlight them through specific achievements in the experience section.
  • Keep your skill descriptions concise and clear.

04

Experience

Experience

Job Title | Company Name | Location Month Year – Month Year - Action Verb + Context + Result (Quantified) - Led [Project] resulting in [Outcome]... - Collaborated with [Team] to implement [Feature]...

General Guidelines

This is the core of your resume. Use reverse-chronological order (most recent first). Start each bullet with a strong action verb. Focus on achievements and impact, not just duties. Use numbers to quantify your impact (dollars, percentages, time saved, users affected). Show progression and increasing responsibility.

Avoid This

Avoid passive language like "Responsible for..." or "Tasked with...". Don't list every single daily task; focus on significant contributions and measurable outcomes. Avoid jargon that recruiters outside your field won't understand.

Real Examples

Practical example showing do's and don'ts for experiences

Don't

Responsible for analyzing data trends to provide insights for marketing campaigns.

Do

Analyzed data trends, delivering actionable insights that increased campaign ROI by 20%.

Don't

Created scripts to automate routine database tasks in SQL.

Do

Developed automated scripts reducing manual DB maintenance time by 75%, improving system reliability.

Quick Tips

  • Use strong action verbs like 'architected', 'deployed', 'optimized' to describe your roles and accomplishments.
  • Quantify results as much as possible. Use percentages, dollars saved, time reduced, etc., to illustrate impact.
  • Highlight any leadership or mentorship roles you've held within your team or the company.
  • Include relevant projects or initiatives that demonstrate your technical skills and business acumen.

05

Education

Education

Degree Name | University Name | Location Month Year – Month Year - Relevant Coursework: [Course 1], [Course 2] - Honors/Awards: [Award Name] - GPA: X.X (if above 3.5)

General Guidelines

List your highest degree first. If you have significant work experience, keep the education section brief. Include your GPA only if it is above 3.5 or if you are a recent graduate. Highlight relevant coursework, academic projects, honors, or leadership roles.

Avoid This

Do not include high school details if you have a college degree. Avoid listing every single course you took; select only the most relevant ones. Don't include graduation dates from decades ago if age discrimination is a concern in your field.

Real Examples

Practical example showing do's and don'ts for educations

Don't

Bachelor of Arts | San Francisco University | San Francisco, CA September 2014 – May 2018 - Major: Computer Science - Courses taken: Programming Fundamentals, Database Management, Object-Oriented Design, Advanced Algorithms, Web Development, Network Security

Do

Bachelor of Science in Computer Engineering | San Francisco State University | San Francisco, CA September 2013 – May 2017 - Relevant Coursework: Data Structures and Algorithms, Distributed Systems, Database Management - Honors/Awards: Dean’s List (Spring 2016) - GPA: 3.8

Quick Tips

  • Start with the degree that is most relevant to your current job or field
  • Include only those courses that are directly related to the position you're applying for
  • Mention any awards, honors, or scholarships if they highlight your achievements in a way that's relevant to the job
  • If your GPA is above 3.5 and it reflects well on your academic performance, include it

06

Projects

Projects

Project Name | Technologies Used - Briefly describe what you built and its purpose - Highlight a specific technical challenge you solved - Link to GitHub or live demo if available

General Guidelines

Projects are excellent for demonstrating practical skills, especially if you lack work experience or are changing careers. Include a link to the GitHub repo or live demo if possible. Focus on projects that show problem-solving skills and relevant technologies for the target role.

Avoid This

Don't include trivial tutorials unless you significantly expanded on them. Avoid projects that are outdated, incomplete, or irrelevant to the role you're applying for. Don't just list technologies—explain what you built and why it matters.

Real Examples

Practical example showing do's and don'ts for projects

Don't

Created a basic CRUD application using Python Flask to demonstrate API creation, but the project is not completed and lacks documentation. The technologies used were listed without context.

Do

Developed a real-time streaming analytics dashboard using Apache Kafka and Flink to process streaming data from multiple sources in near-real time for business stakeholders. Utilized Python and React.js for front-end visualization.

Quick Tips

  • Ensure that your project descriptions are clear, concise, and highlight unique technical challenges you overcame.
  • Include a link to the GitHub repository or live demo of the project if available, providing potential employers with an opportunity to see your work in action.
  • Choose projects that showcase your ability to solve complex problems using relevant technologies, demonstrating skills that align with the job requirements.
  • Avoid listing trivial tutorials and instead focus on more substantial projects that demonstrate a significant level of expertise and creativity.

Frequently Asked Questions

Common questions about this role and how to best present it on your resume.

Emphasize pipeline ownership, SQL and Python skills, cloud platforms, data modeling, orchestration, and measurable improvements such as lower latency, fewer data quality issues, or faster reporting.

Use the language of the target role naturally: tools such as Spark, Kafka, Airflow, dbt, Snowflake, BigQuery, AWS, Azure, or GCP, plus clear outcomes tied to reliability, speed, cost, or data quality.

Include relevant cloud, analytics, or data platform certifications when they support the role. Keep them below experience unless the job specifically requires them.

Choose projects that show realistic pipeline design, data quality, orchestration, modeling, or streaming work. Explain the problem, the tools used, and the result instead of only listing technologies.

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