Data Operations Engineer - Technical Support & Automation

PANKAJ KUMAR SINGH

Jaipur, India +91-979**-***** ***********.*********@*****.*** linkedin.com/in/pankaj-k-s PROFESSIONAL SUMMARY

Highly analytical Data Operations Engineer with strong expertise in Technical Support, production troubleshooting, incident management, and data pipeline optimization. Proven experience in maintaining Service Level Agreements (SLAs), managing JIRA-based ticketing workflows, performing Root Cause Analysis

(RCA), and improving operational reliability. Skilled in Python, SQL, and automation to enhance data quality, streamline validation processes, and integrate AI-driven monitoring mechanisms for scalable and resilient systems.

PROFESSIONAL EXPERIENCE

Data Operations Engineer (Technical Support) — Q3 Technologies Present

• Provide end-to-end Technical Support for production data pipelines and client-facing systems, ensuring high availability and performance stability.

• Manage incidents, service requests, and change tickets using JIRA, ensuring timely resolution within defined SLAs and escalation matrices.

• Perform in-depth troubleshooting and Root Cause Analysis (RCA) for data inconsistencies, system failures, and performance bottlenecks.

• Monitor operational KPIs and proactively identify risks to prevent SLA breaches and service disruptions.

• Automate Python-based validation, reconciliation, and monitoring workflows, reducing manual intervention by 35%.

• Develop diagnostic scripts and data quality checks that reduced debugging and issue resolution time by 30%.

• Implement AI-assisted anomaly detection logic to strengthen pipeline reliability and predictive monitoring.

• Collaborate with cross-functional engineering and product teams to refine technical requirements and enhance workflow efficiency.

• Support data governance, compliance checks, and audit processes to maintain accuracy, integrity, and traceability of datasets.

Data Analyst Intern — Red Rose Enterprises Dec 2022 – Feb 2023

• Cleaned, validated, and transformed structured datasets to improve reporting accuracy and decision-making reliability.

• Automated recurring reports using Python and Excel, reducing manual processing time by 20%.

• Designed dashboards to track business KPIs and uncover performance insights.

• Conducted Exploratory Data Analysis (EDA) to identify trends, anomalies, and growth opportunities.

• Applied foundational machine learning concepts to support predictive business analysis. EDUCATION

B.Tech in Computer Science Engineering — Vellore Institute of Technology Higher Secondary (RBSE) — Bhartiya Public School

TECHNICAL SKILLS

Programming: Python, SQL, Java Data & Analytics: Pandas, NumPy, Scikit-Learn, EDA, Feature Engineering, Statistical Analysis Tools & Platforms: JIRA, Power BI, Excel, Git, MySQL Core Competencies: Technical Support, Incident Management, SLA Management, Troubleshooting, Root Cause Analysis (RCA), Automation Web Technologies: HTML, CSS, JavaScript

PROJECTS

Heart Disease Prediction (Logistic Regression)

• Achieved 91% accuracy using feature scaling, cross-validation, and optimized regularization.

Dec 2024 - July 2025

• Conducted detailed EDA to identify key medical risk indicators.

• Tuned classification thresholds to balance precision and recall. Credit Card Fraud Detection (Classification)

• Reduced false positives by 16% through optimized model boundaries.

• Applied SMOTE to address class imbalance.

• Evaluated performance using ROC-AUC and Precision-Recall curves. Student Performance Prediction (Regression)

• Achieved 96% predictive accuracy using correlation-based feature selection.

• Cleaned and normalized data to ensure stable training.

• Evaluated using MAE and RMSE metrics.

CERTIFICATIONS

Career Skills in Data Analytics — LinkedIn Learning LEADERSHIP & EXTRACURRICULARS

Marketing Director — Event Managers Club, VIT

• Increased event participation by 77% and led a 67-member team.

• Organized and executed large-scale campus events, improving coordination efficiency.

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