Help & Supportcareers@gravityer.com
Data Engineer with 2+ years in AI-assisted analytics & data pipeline development
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI-Assisted Analytics Engineer with experience building data pipelines, analytics workflows, and reporting systems using SQL, Python, Power BI, and modern data platforms. Skilled in leveraging AI tools including GitHub Copilot, Claude, NotebookLM, Streamlit, Zapier, and Notion AI to accelerate ETL development, automate reporting workflows, improve documentation, and enhance data-driven decision making. Experienced collaborating with engineering and product teams to deliver scalable analytics solutions in fast-paced environments.
University of New Haven
Master of Science · Information Science
August 1, 2024 – June 30, 2025
Jawaharlal Nehru Technological University
B.Tech · Electronics and Communication Engineering
August 1, 2016 – June 30, 2020
Qualitest (Client: Meta)
Graduate Data Engineer - AI Data Operations
February 1, 2026 – June 1, 2026
Redmond, Washington, United States
P&F Solutions
Data Analyst Intern
May 1, 2025 – August 1, 2025
Newark, New Jersey, United States
PCS Global Pvt Ltd
Data Systems Intern
November 1, 2023 – December 1, 2023
Bengaluru, Karnataka, India
Recrosoft Technologies
Operations Data Analyst
July 1, 2021 – January 1, 2023
Bengaluru, Karnataka, India
AI-Assisted Analytics Workflow Automation
June 21, 2026 – Present
Built AI-assisted workflows automating reporting, documentation, and data exploration tasks. Integrated Streamlit dashboards and AI-generated insights to improve analytics accessibility.
Large-Scale Data Lake Analytics
June 21, 2026 – Present
Processed and analyzed large-scale datasets using Spark and Databricks-based analytics workflows. Used NotebookLM and AI-assisted documentation workflows to accelerate exploratory analysis and reporting.
Power BI Semantic Reporting Framework
June 21, 2026 – Present
Designed interactive KPI dashboards enabling operational trend analysis and stakeholder reporting. Used Gamma and AI-assisted reporting workflows to streamline presentation and business insight generation.
Google Data Analytics Professional Certificate
June 1, 2026 – Present
Apache Spark
Unknown
June 1, 2026 – Present
Databricks Generative AI Fundamentals
Databricks
June 1, 2026 – Present
Microsoft Certified: Azure Fundamentals (AZ-900)
Microsoft
June 1, 2026 – Present
Microsoft Power BI (PL-300)
Microsoft
June 1, 2026 – Present
Data Cleaning in Python
Unknown
June 1, 2026 – Present
Microsoft Azure Data Fundamentals (DP-900)
Microsoft
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including AI-assisted analytics, large-scale data lake analytics, and Power BI reporting, shows a broad interest in data engineering and analytics. Their experience across different companies and roles (internships, full-time) indicates adaptability. The strong emphasis on AI tools in their work and projects suggests an innovative mindset, which could be a good cultural fit for forward-thinking organizations. However, the experience is relatively short for a senior role, which might impact the depth of their cultural contribution in complex scenarios.
Soft Skills & Operational Fit
The candidate demonstrates collaboration with engineering teams and stakeholders, indicating good teamwork and communication skills. Their experience in automating repetitive tasks and troubleshooting pipeline issues suggests a proactive and problem-solving attitude. The use of AI tools for productivity aligns with modern operational practices.