SQL & BI Analyst | Power BI • 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 Insurance Client (Top 5 India Insurer)

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• 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 Insurance Client (Top 5 India Insurer)

• 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 Apple Music Promo Project

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• 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

National Institute of Technology (NIT) Surat

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GPA: 9.2/10

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
78/100
Profile
88/100
Skills
90/100
Work Experience
85/100
Education
75/100
Certifications
85/100
Header
80/100
Add a phone number and complete location details in the header for improved ATS parsing and recruiter contact.
Standardize date formats and ensure all work experience entries have clear start and end dates.
Incorporate soft skills and interpersonal abilities in the skills section to present a well-rounded profile.
Include dates and measurable impacts in the projects section to strengthen relevance and credibility.
Complete missing certification dates and consider adding verification details.
Strong quantifiable achievements in SQL query optimization and report automation.
Proficiency across multiple BI tools including Power BI, Tableau, and advanced Python scripting.
Experience with ETL pipelines using SSIS and Azure Data Factory, relevant to enterprise data environments.
Demonstrated collaboration with stakeholders and cross-functional teams to deliver impactful dashboards.

Projects

78%
Projects demonstrate practical application of skills and use of industry-relevant tools, enhancing the profile.
Add dates to projects to show recency and continuity.
Include specific outcomes or impacts of projects to quantify value delivered.

Profile

88%
The summary is concise and includes quantifiable achievements, which is excellent for ATS and recruiters.
Profile highlights effectively emphasize key skills and accomplishments; consider integrating a few soft skills to balance technical focus.
Add a brief objective or career goal to clarify long-term aspirations and alignment with potential roles.

Skills

90%
The hard skills list is comprehensive and well-aligned with the candidate's roles, aiding ATS keyword matching.
Including tools separately is beneficial; consider adding more soft skills to showcase interpersonal abilities.
Use consistent naming conventions (e.g., 'SQL' appears in both HardSkills and Tools; consolidate to avoid redundancy).

Work Experience

85%
Use consistent date formats and complete start/end dates for all roles to improve clarity and ATS parsing.
Descriptions include strong action verbs and quantifiable results, enhancing impact and keyword relevance.
Consider grouping similar roles or clarifying overlapping positions to avoid confusion and demonstrate clear career progression.

Education

75%
Education section includes a reputable institution and a strong GPA, which is positive.
Add start date or duration of study to provide a clearer timeline.
Consider including relevant coursework, projects, or honors to strengthen this section.

Certifications

85%
Certifications are relevant and recent, which supports the candidate's expertise and continuous learning.
Add missing award dates for certifications to improve completeness.
Consider listing certification IDs or links to verify credentials.

Header

80%
Include a phone number to improve recruiter contact options and ATS parsing.
Add a complete address or at least the city and country consistently formatted to enhance location-based searches.
The headline is strong and keyword-rich, which benefits ATS and recruiter scanning.
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