ATS Score
82/100
Work Experience
78/100
Header
85/100
Skills
75/100
Certifications
0/100
Projects
80/100
Education
70/100
Profile
80/100
Add certifications relevant to data engineering and cloud technologies to boost credibility and ATS ranking.
Use consistent formatting with bullet points and date styles across sections to improve readability and ATS parsing.
Expand soft skills and tools sections to provide a fuller candidate profile.
Include more quantifiable achievements in profile and earlier work experiences.
Add dates to projects and more detailed descriptions to highlight scope and impact.
Strong hands-on experience with Google Cloud Platform services relevant to data engineering.
Clear demonstration of measurable impact in work experience, such as cost reduction and performance improvements.
Relevant and up-to-date technical skills aligned with industry demands.
Projects showcase end-to-end pipeline development and real-world application of skills.
Work Experience
78%
Descriptions include relevant technologies and measurable outcomes, which enhance recruiter appeal.
Use consistent formatting for dates and employment types to improve readability and ATS parsing.
Expand on earlier roles with more technical details or accomplishments to show career progression and depth.
Consider adding bullet points rather than paragraphs for easier scanning by ATS and human readers.
Header
85%
Header includes essential contact information and professional headline, which is good for ATS parsing and recruiter clarity.
Consider adding a professional title keyword like 'Data Engineer' explicitly in the name line or as a title for stronger ATS keyword recognition.
Skills
75%
Hard skills are well aligned with the data engineering domain and include key cloud and programming technologies.
Add soft skills and tools to provide a more rounded skill profile that ATS systems often look for.
Consider grouping skills by category (e.g., Programming Languages, Cloud Platforms, Data Tools) for clarity.
Certifications
0%
Section missing
Projects
80%
Projects demonstrate practical application of data engineering skills with specific technologies and outcomes.
Include dates or durations for projects to provide temporal context.
Use bullet points to break down project tasks and results, enhancing readability.
Add metrics or impact statements where possible to quantify success.
Education
70%
Basic education details are present with institution and degree, which is sufficient for ATS.
Include graduation month if possible to improve timeline clarity.
Add any relevant coursework, projects, or honors to strengthen this section.
Profile
80%
Summary is concise and highlights key skills and technologies relevant to data engineering roles.
Add a few quantifiable achievements or metrics in the profile to immediately demonstrate impact.
Including a brief objective or career goal could help tailor the profile more explicitly to targeted roles.