Kishor M

Data Engineer with 2 years of experience in designing, automating, and optimizing scalable data solutions. Skilled in building robust ETL pipelines, cloud-native workflows, and unified data platforms using Azure, Databricks, Snowflake, Apache Spark, and Python. Experienced in integrating diverse data sources (SQL Server, APIs, AWS S3, Excel) into high-performance pipelines while ensuring data quality, governance, and reliability.

Passionate about enabling data-driven decision-making through secure and scalable data architectures.

Data Engineer at Sagility Healthcare (2024-03 – Present)

Responsible for planning, executing, and monitoring assigned tasks to ensure timely and high-quality project delivery. Maintained accuracy and compliance with organizational and project standards. Collaborated with cross-functional teams to understand requirements, develop effective technical solutions, and ensure seamless stakeholder communication and project delivery.

Designed, developed, and maintained workflows/processes to improve operational efficiency. Continuously identified opportunities for automation and optimization. Performed data analysis, reporting, and documentation to support decision-making processes.

Ensured data accuracy, consistency, and reliability across systems. Identified technical and process-related issues and implemented corrective actions proactively. Supported troubleshooting and continuous improvement initiatives.

Followed best practices, organizational policies, and industry standards in all deliverables. Contributed to knowledge sharing and team development through documentation and mentoring.

Data Engineer (Project: Financial Performance Optimization System) at Nexora Industries (2024-03 – Present)

Led data-driven transformation by architecting and optimizing scalable, cloud-native data pipelines. Designed resilient workflows using Databricks and Snowflake to integrate ERP, finance, and operations datasets, ensuring high standards of data quality, reliability, and availability. Enabled advanced analytics and predictive modeling capabilities that enhanced financial performance, operational efficiency, and overall system stability.

• Data Integration & Quality Engineering: Developed scalable pipelines in Databricks to consolidate ERP sales, billing, cost, and mechanical operations data into Snowflake with strong validation and quality controls.
• Pipeline Performance Optimization: Built advanced SQL workflows using CTEs and window functions for P&L and AR aging reports, achieving a 7x reduction in query latency.
• Unified Analytics Architecture: Orchestrated end-to-end workflows using Delta tables, creating a centralized analytics platform that enabled cross-team collaboration and accelerated insight generation.
• Workflow Automation: Automated reconciliation processes and reporting pipelines using Python and SQL, saving over 200+ man-hours annually.
• Predictive Analytics Enablement: Designed regression and time-series models for predictive maintenance, reducing unplanned downtime by 15%.
• Revenue Recovery & Working Capital Optimization: Implemented anomaly detection pipelines that improved DSO by 6% and unlocked additional working capital through proactive revenue recovery.

Data Engineer (Project: End-to-End ETL Automation for Customer & Service Analytics) at Omniserve (2024-07 – Present)

Contributed to large-scale enterprise data engineering initiatives by designing scalable, automated data pipelines and integrating multi-source customer and operational datasets. Architected workflows using Snowflake, AWS S3, and Databricks to ensure high data consistency, reliability, and availability—enabling advanced analytics, improved service operations, and data-driven decision-making.

• Data Ingestion & Standardization: Integrated customer engagement data, transaction records, service logs, and API sources from AWS S3 and Snowflake into unified, standardized data pipelines.
• ETL Automation: Developed fully automated nightly ETL workflows using Python, reducing manual reporting efforts by 60% and significantly accelerating forecasting and reporting cycles.
• Data Modeling & Architecture: Designed scalable schemas for customer segmentation and SLA tracking, enabling high-performance dashboards and advanced analytics.
• Business-Aligned Analytics Delivery: Collaborated with business analysts and product teams to align analytics outputs with strategic objectives, delivering insights that guided marketing strategy, service recovery initiatives, and cost optimization programs.
• Automation, Enablement & Documentation: Automated KPI refresh pipelines and reporting processes using Python and SQL, supported by comprehensive documentation and user training to promote data literacy and self-service analytics adoption.

Bachelor of Computer Applications in Computer Applications – Erode Arts and Science College – Bharathiyar University (2020 – 2023)