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Data Engineer with 4+ years in Oracle SQL, ETL & Data Analysis
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven SQL Developer with 3+ years of experience in Oracle SQL, ETL processes, and production data analysis within industrial automation environments. Proven ability to build optimized queries, troubleshoot data pipelines, and generate KPI-driven insights for business decision-making. Experienced in handling real-time data systems, ensuring data accuracy, and supporting mission-critical applications.
Unknown
Bachelor of Technology · Mechanical Engineering
N/A – Present
Tata Steel - Automation Project (via Ind Innovation Pvt Ltd)
Process Facility Maintenance Engineer / L2 Application
November 1, 2022 – Present
Angul, Odisha, India
Hindustan Aeronautics Limited (HAL)
Graduate Apprenticeship Trainee
January 1, 2020 – December 31, 2021
Koraput, Odisha, India
E-Commerce Sales Performance Dashboard
June 22, 2026 – Present
Designed an interactive Power BI dashboard using SQL and Excel datasets. Analyzed sales trends, profit margins, and customer behavior patterns.
HR Analytics Dashboard
June 22, 2026 – Present
Built a dashboard to analyze employee attrition and workforce trends. Provided actionable insights for HR decision-making and retention strategies.
Production Data Monitoring & KPI Reporting System
June 22, 2026 – Present
Developed a SQL-based system to monitor and analyze real-time production data. Automated KPI report generation, improving reporting efficiency and accuracy. Identified and resolved data flow issues within ETL pipelines. Ensured seamless data availability for HMI dashboards and operational systems.
AutoCAD
CTTC
June 1, 2026 – Present
Power BI
Unknown
June 1, 2026 – Present
Python for Data Analysis
Unknown
June 1, 2026 – Present
Advanced Excel
Unknown
June 1, 2026 – Present
SQL
Udemy
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's professional experience at Tata Steel involves working on an automation project, which suggests an ability to adapt to structured, industrial environments. The project diversity, including production monitoring, e-commerce sales, and HR analytics, indicates a broad interest in applying data skills across different business domains. However, the primary focus remains heavily on SQL and reporting, with less emphasis on distributed systems or cloud technologies often associated with modern Data Engineering roles, which might require some cultural adaptation to a more cloud-native or big data environment.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through diagnosing and resolving database issues and data flow problems. Their experience in maintaining continuous data flow and ensuring system reliability indicates a focus on operational efficiency. The ability to deliver customized datasets and analytical reports suggests good communication and stakeholder management, although direct evidence of team collaboration or stress handling is not explicitly detailed.