Pranay Werulkar
Data Engineer | Distributed Data Platforms | Spark & PySpark Orchestration | Automation • System Design • Scalable Data Infrastructure
- Role
- Officer at Citi
- Location
- Pune Division, MH, IN
- LinkedIn followers
- 500 followers
About Pranay Werulkar
Data Engineer with 8+ years of experience building scalable backend systems and distributed data platforms. I specialize in designing and optimizing large-scale data processing workflows using Python, Spark, and PySpark, with a strong focus on automation, reliability, and performance.My experience spans backend engineering and data engineering, where I have developed APIs, automated workflows, and engineered production-grade data pipelines across Hadoop and Spark ecosystems. I enjoy solving complex data and infrastructure challenges by applying system design principles, improving operational efficiency, and enabling scalable data-driven solutions.Core expertise includes:• Python engineering (Django, Flask, APIs)• Distributed data processing — Spark & PySpark• Workflow orchestration & automation• SQL, Unix/Linux, Git, CI/CD (Jenkins), and AWS environmentsI am passionate about building robust systems that scale, simplifying complex workflows through automation, and continuously improving platform reliability and performance. I thrive in environments that value ownership, collaboration, and engineering excellence.
Experience
Officer
Dec 2024 — Present
Data Engineer responsible for building scalable data platforms, automating Spark workflows, and improving reliability of large-scale distributed data processing systems.Key Contributions-Designed and implemented distributed data pipelines • Built large-scale data processing workflows using Spark & PySpark • Processed high-volume datasets across Hadoop ecosystem • Optimized job performance and reduced execution time through tuning and partition strategies- Developed Spark job orchestration & automation framework • Designed controller-based execution replacing traditional scheduler workflows • Enabled parallel job execution, dependency handling, reruns, and failure recovery • Improved operational efficiency and reduced manual intervention- Backend & API Engineering • Developed Python-based services using Django/Flask • Built APIs supporting data processing and automation workflows • Integrated backend systems with data platforms- Platform Reliability & DevOps • Automated deployments using Jenkins, Git workflows, and Ansible • Monitored production jobs and improved failure handling mechanisms • Enhanced system stability and execution visibility through centralized logging
Education
Rajendra High School & Jr. College, Nagpur
HSSC, Electronics
2011 — 2013
Yeshwantrao Chavan College of Engineering, Nagpur
Bachelor of Engineering (BE), Computer Technology
2013 — 2017
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