Jeevanantham Govindaraju
Senior Data Engineer & Retail POS Specialist
14+ years of enterprise software engineering experience with deep expertise in Big Data pipelines (Apache Spark, Hive, Hadoop clusters, Kafka, Airflow), data modeling (SCD Type 1 & 2), and over 6 years as a core Point of Sale (POS) developer architecting high-volume retail transaction systems at Lowe's.
Big Data Engineering Meets Retail Domain Mastery
Transforming massive enterprise retail datasets into resilient pipelines, real-time insights, and rock-solid systems.
I am a Senior Software Engineer & Data Engineer based in Bengaluru, Karnataka. With over 14 years of hands-on experience in enterprise software development, I specialize in engineering scalable data pipelines using Apache Spark, Hive, Hadoop, Kafka, Airflow, and Python, while possessing deep SME-level mastery in Point of Sale (POS) retail operations.
In my current role at Lowe's (2022 – Present), I develop and maintain robust data pipelines that ingest, store, validate, and process massive datasets across Hadoop clusters. I build custom PySpark applications for complex data transformations, implement Slowly Changing Dimensions (SCD Type 1 & 2), and engineer automated alerting and monitoring mechanisms to ensure zero-downtime data delivery.
Prior to my data engineering focus, I spent over 6 years as a Senior POS Developer at Lowe's (2016 – 2022), leading C/C++ development across critical store transaction applications—including Sales, Returns, Order Management, and Receiving. I designed real-time Splunk dashboards, provided critical edge-case support during peak holiday sales, and established SOPs that permanently decreased incident inflow.
Before Lowe's, I spent 5.5 years at Cognizant managing retail systems and receiving applications. I hold a B.E. in Mechanical Engineering from Anna University (KCT), providing an analytical problem-solving foundation that bridges physical systems, data mechanics, and software architecture.
Core Engineering Pillars
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Big Data Pipelines & ETL/ELT: End-to-end ingestion, schema validation, cleansing, and transformation with Apache Spark, PySpark, Hive, and Airflow on Hadoop clusters.
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Data Modeling & SCD: Designing dimensional data models, slowly changing dimensions (SCD Types 1 & 2), and data tagging for reporting and Power BI.
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POS & Retail Systems SME: Architectural expertise across Sales, Returns, Order Management, and Store Receiving applications with high SLA uptime.
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Operational Excellence & Observability: Real-time Splunk dashboards, automated pipeline alert scripts, root cause analysis (RCA), and standard operating procedures (SOPs).
Professional Experience
Over 14 years of proven track record spanning Big Data engineering, POS system development, and enterprise retail delivery.
Lowe's Companies, Inc.
- Big Data Pipelines with Spark & Hive: Developed and implemented end-to-end data pipelines to ingest, store, and process large-scale datasets using Apache Spark and Hive on distributed Hadoop clusters.
- Custom PySpark Applications: Built custom data applications utilizing Python and PySpark for complex data transformation, schema validation, cleansing, and deduplication.
- Data Modeling & SCD Architecture: Implemented dimensional data models and Slowly Changing Dimensions (SCD Type 1 & 2) for historical data capture and accurate downstream reporting.
- Pipeline Monitoring & Alert Automation: Developed custom alerting scripts and automated monitoring routines to ensure seamless pipeline execution and prevent data anomalies.
- Hadoop Cluster Troubleshooting: Conducted thorough root cause analysis (RCA) on performance bottlenecks and application failures deployed across Hadoop clusters.
- Reporting & Mentorship: Tagged data structures for business intelligence reporting, completed Power BI enablement, and provided technical guidance and coaching to junior developers.
Lowe's Companies, Inc.
- Point of Sale (POS) Engineering: Led C/C++ development across multiple functional areas of POS applications utilizing Agile methodologies and user-centric retail workflows.
- POS Domain SME: Gained Subject Matter Expert (SME) level mastery in core store systems: Sales / Returns, Order Management, and Receiving applications.
- Splunk Dashboards & Proactive Monitoring: Designed real-time Splunk dashboards and automated performance reports for swift incident triage and proactive anomaly detection.
- Peak Holiday Sales Support: Worked closely with business stakeholders during peak holiday seasons, solving edge-case bugs and ensuring uninterrupted store checkout operations.
- Incident Inflow Reduction: Authored Standard Operating Procedures (SOPs) for recurring production incidents, identifying root causes to boost overall system stability.
Cognizant Technology Solutions
- Comprehensive Retail Operations: Oversaw mission-critical retail systems handling sales, inventory, pricing, signage, and order management under strict SLAs.
- Receiving SME & Incident Management: Served as Subject Matter Expert for the Receiving application, collaborating with Major Incident Managers (MIMs) on high-priority production resolutions.
- Process Automation & SOPs: Created custom automated shell scripts to eliminate repetitive manual operational tasks, boosting team productivity and batch window speeds.
- Change Management & Delivery: Implemented and reviewed change requests, maintaining system reliability while rolling out updated features to store environments.
Anna University - Chennai (Kumaraguru College of Technology)
- Graduated with a strong analytical foundation in computational mechanics, mathematical models, and system dynamics, serving as the basis for big data algorithms and distributed software architecture.
Featured Projects & Systems
Practical demonstrations across Big Data pipelines, retail POS architectures, and distributed systems.
Retail Big Data Ingestion & Transformation Pipeline
Distributed batch processing pipeline engineered with Apache Spark and Hive to ingest high-volume retail transactions. Implements PySpark data transformations, schema validation, deduplication, and Slowly Changing Dimensions (SCD Type 2) tracking for historical analytics.
Enterprise Point of Sale (POS) & Store Retail ERP
Comprehensive point-of-sale platform developed to handle real-world retail workflows: checkout transactions, customer returns, store inventory synchronization, and hardware terminal integration (Sunmi / mobile POS) with offline-first transaction resilience.
Core Skills & Competencies
Extensive technical skillset across Big Data frameworks, enterprise POS platforms, and system reliability.
Big Data & Engineering
POS & Systems Tech
Delivery & Leadership
Let's Connect
Whether you are looking for a Senior Data Engineer, Big Data specialist, or POS enterprise systems expert—I welcome discussions on high-impact engineering opportunities.