Help & Supportcareers@gravityer.com
Data Engineer with 8+ years in ETL, Data Warehousing & Cloud Automation
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Engineering professional with 7+ years at Accenture building enterprise-grade ETL pipelines, Snowflake data-warehouse solutions, and intelligent automation across 30+ global accounts in 15+ industries. Architects and optimizes pipelines processing 100M+ records daily using Snowflake, Talend, Python, and cloud-native services. Cuts manual effort 40–60% through Workato iPaaS, Pipefy workflow automation, and custom API integrations. Owns end-to-end delivery — from requirements to production — with zero-downtime releases and 99.5%+ SLA compliance.
Banasthali Vidyapeeth
B.Tech · Electronics & Communication Engineering
August 1, 2014 – June 30, 2018
Accenture Solutions Pvt. Ltd.
Senior Analyst – Data Engineering & Integration
January 1, 2018 – Present
Gurgaon, Haryana, India
Enterprise iPaaS Integration (Workato)
June 1, 2025 – June 30, 2026
Designed 30+ recipes connecting SAP Ariba, procurement systems, and SFTP endpoints, handling 50K+ daily transactions at 99.8% success with automated error recovery.
AI-Driven Query Management Platform
June 1, 2025 – June 30, 2026
Architected a full-stack solution (React + FastAPI + PostgreSQL) with LLM-powered auto-responses; cut query resolution time 60% across 5 teams, serving 50+ users with role-based access.
Snowflake Data Warehouse Modernization
June 1, 2025 – June 30, 2026
Migrated 15+ legacy ETL pipelines to Snowflake, redesigning models for 100M+ daily records and moving data latency from T+1 to near-real-time via streams/tasks.
AI-Powered Sprint Health Analytics
June 1, 2025 – June 30, 2026
Built a Generative-AI reporting system on Azure DevOps APIs delivering sprint velocity, blocker detection, and capacity insights — saving scrum teams 5+ hours/week.
Microsoft Certified: Azure AI Engineer Associate (AI-102)
Microsoft
November 1, 2023 – November 1, 2025
Microsoft Certified: Azure Data Scientist Associate (DP-100)
Microsoft
September 1, 2023 – September 1, 2025
Cultural Fit Analysis
The candidate's experience across 15+ industries and 30+ global accounts at Accenture suggests high adaptability and exposure to diverse business contexts, which is a strong indicator of cultural fit for dynamic environments. Their involvement in mentoring and knowledge-sharing initiatives points to a collaborative and team-oriented approach. The breadth of technologies and project types (data warehousing, iPaaS, AI-driven platforms) indicates a willingness to learn and apply new skills, aligning well with innovative cultures.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through incident resolution and root-cause analysis, and leadership potential through mentoring junior analysts. Their experience with Agile/Scrum, ITIL, and CI/CD indicates a solid operational fit for structured development and deployment environments. The ability to reduce manual intervention and optimize processes suggests a proactive and efficiency-driven mindset.