SQL & BI Analyst | SQL | Python

Dev Sharma

Professional Summary

Data Analyst with 4+ years of experience using SQL, Power BI, Tableau, and Python to deliver data insights and build decision-ready dashboards. Proven track record of reducing report load times by 25%, optimizing SQL queries by 40%, and automating reporting processes for enterprise clients. Hands-on with SSIS, Azure Data Factory, and stakeholder collaboration across telecom and insurance sectors.

Work Experience

Senior Consultant at Finlytics Labs

-

• Designed SQL-powered dashboards for audit and finance teams tracking 20+ KPIs. • Boosted query performance by 40% and report load time by 25% through optimization. • Created automated ETL pipelines with SSIS and parameterized SQL scripts. • Developed executive Power BI dashboards adopted by 4 departments. • Partnered with QA and engineering to implement root-cause anomaly detection.

Power BI POC – KPI Visibility Initiative at KPI Insights Pvt Ltd

• Delivered proof of concept that reduced manual reporting by 80%. • Created Power BI dashboards on customer lifecycle and agent productivity. • Built parameterized SQL flows integrated with Power BI Gateway. • Led pilot demo to leadership, which resulted in company-wide rollout.

Assistant System Engineer at TuneTrend Analytics

-

• Created 17+ Tableau dashboards to visualize 5G device trends and music campaign data. • Automated reporting saving 10+ hours/week for ops team. • Used SQL extracts and calculated fields to improve dashboard response time. • Troubleshot live report issues and coordinated with engineering on bug fixes.

Education

Bachelor of Technology (B.Tech) in Computer Science

Indian Institute of Technology Bombay

-

GPA: 9.8/10

Skills

Technical Skills

  • SQL (MSSQL, MySQL)
  • SSIS
  • Views & Joins
  • Power BI
  • Tableau
  • DAX
  • Power Query
  • Python (Pandas, Numpy, Matplotlib)
  • Azure Data Factory
  • Git
  • Linux/Windows
  • Data Modeling
  • ETL Pipelines
  • Dashboard Design
  • Stakeholder Reporting
  • Anomaly Detection
  • KPI Tracking

Certifications

Microsoft Certified: Power BI Data Analyst Associate

Microsoft

Google Data Analytics Professional Certificate

Coursera

Azure Fundamentals (AZ-900)

Microsoft

Score
85/100
Projects
80/100
Certifications
85/100
Education
75/100
Header
80/100
Skills
90/100
Profile
88/100
Work Experience
85/100
Add a phone number and complete location details in the header to improve ATS parsing and recruiter contact.
Standardize and include start/end dates and employment types across all work experiences for clarity and ATS compatibility.
Incorporate soft skills and proficiency levels in the skills section to appeal more to recruiters.
Include dates for projects and certifications to provide better timeline context and credibility.
Expand education details with start dates and relevant coursework or honors to strengthen academic background.
Strong quantification of achievements in work experience demonstrating impact (e.g., 40% query optimization).
Diverse technical skill set covering SQL, BI tools, Python, and cloud ETL technologies.
Relevant and recognized certifications that validate core competencies in data analytics.
Clear and concise summary with measurable outcomes and cross-industry stakeholder collaboration.

Projects

80%
Projects demonstrate practical application of skills with clear descriptions.
Add dates to projects to provide timeline context and relevance.
Mention specific technologies or tools used in each project explicitly to improve keyword density.

Certifications

85%
Certifications are relevant and recent, reinforcing expertise in Power BI and data analytics.
Add missing award dates (e.g., Azure Fundamentals) for completeness.
Consider including certification IDs or links for verification if applicable.

Education

75%
Education section includes a prestigious institution and strong GPA, which is a good differentiator.
Add start date or duration of study to give a clearer academic timeline.
Include relevant coursework, honors, or projects if applicable to strengthen this section.

Header

80%
Include a phone number to improve recruiter contact options and ATS completeness.
Provide a full, properly formatted location including street or at least city and state consistently.
The LinkedIn URL should be a full URL starting with https:// for better ATS parsing.

Skills

90%
Comprehensive and well-categorized hard skills and tools relevant to data analysis and BI roles.
Including soft skills could improve the balance and appeal to recruiters looking for teamwork and communication abilities.
Consider listing proficiency levels (e.g., advanced, intermediate) for key skills to provide more context.

Profile

88%
Strong summary with quantifiable achievements and relevant technical skills.
Consider adding a brief objective statement to clarify career goals and align with job targets.
Profile highlights effectively showcase key competencies; consider adding 1-2 soft skills to balance technical focus.

Work Experience

85%
Work descriptions include strong action verbs and quantifiable metrics, which is excellent for ATS and recruiters.
Add consistent start and end dates for all roles to improve timeline clarity and ATS parsing.
Use consistent formatting for bullet points and consider adding more details about technologies used per project.
Clarify the employment type (full-time, contract, etc.) for each role to enhance completeness.
    SQL & BI Analyst | SQL | Python | Dev Sharma | Resume Template - Yotru