Roshan Patidar

Senior Software Engineer

Bengaluru, Karnataka, India5 yrs 1 mo experience
Highly Stable

Key Highlights

  • Engineered scalable ETL pipelines for 400M+ customers.
  • Led cross-functional teams to optimize data workflows.
  • Drove growth strategies that increased user retention by 30%.
Stackforce AI infers this person is a Data Engineering and API Engineering expert in the SaaS industry.

Contact

Skills

Core Skills

Data EngineeringBig Data AnalyticsApi EngineeringGrowth StrategyProduct ManagementDigital Marketing

Other Skills

Apache NiFiApache SparkHiveHadoopApache AirflowSQLPythonScalaETLCloud EngineeringData VisualizationReal-time Data ProcessingTeam LeadershipProject ManagementCost Optimization

About

“All limits are self-imposed.” — Icarus I’ve always believed that true growth begins where comfort ends. My career is driven by a relentless curiosity to explore, build, and scale — across technology, data, design, and strategy. Originally from a non-CS engineering background, I carved my path into data engineering, driven by a passion for solving complex problems and building systems that scale. Today, I design high-throughput data pipelines, optimize big data workflows, and lead data platform initiatives that impact millions of users daily. 🔹 At Jio Platforms, I’ve engineered scalable ETL pipelines supporting 400M+ customers, implemented real-time Spark Streaming architectures, and migrated PB-scale datasets across cloud and on-premise environments. 🔹 I specialize in Apache Spark, Kafka, NiFi, Airflow, Databricks, Hive, Azure, GCP, and Kubernetes — tools I use to unlock business insights and drive real-time decision-making. 🔹 I’ve also worked on API development, platform observability, UI/UX dashboards, and growth analytics, combining technical execution with business impact. Outside the world of data, I’m equally passionate about content writing, digital marketing, and growth strategy — blending creative storytelling with data-driven experimentation. I thrive on: ✅ Designing robust data systems ✅ Solving high-impact analytical problems ✅ Driving cross-functional collaboration ✅ Mentoring peers and leading by example 💡 Fun fact: I started my tech journey in a robotics club during college — which led to my fascination with systems thinking and machine behavior. 📌 Key Interests: 👉 Big Data & Data Engineering 👉 ETL & Real-Time Data Pipelines 👉 Cloud Platforms (Azure, GCP) 👉 Apache Spark, Kafka, NiFi 👉 API Engineering & DevOps 👉 Data Analysis & Visualization 👉 Product & Growth Strategy 👉 UI/UX Design & System Thinking Let’s connect if you’re building scalable systems, solving data challenges, or exploring growth through analytics. 📫 Email: roshanpatidariiti@gmail.com Always open to meaningful conversations and impactful opportunities.

Experience

5 yrs 1 mo
Total Experience
2 yrs 4 mos
Average Tenure
4 mos
Current Experience

Godaddy

Senior Software Engineer

Jan 2026Present · 4 mos · India · Remote

Jio platforms limited (jpl)

2 roles

Senior Data Engineer

Jul 2024Jan 2026 · 1 yr 6 mos · Bengaluru, Karnataka, India · On-site

  • Designed and deployed scalable data ingestion pipelines using Apache NiFi, integrating high-volume structured/unstructured data into the Jio Big Data Lake (JBDL), improving analytics readiness by 40%.
  • Transformed petabyte-scale datasets using Apache Spark within a Hadoop ecosystem, reducing batch processing times by 30% and improving query efficiency.
  • Built cloud-native ETL pipelines and analytical frameworks for 400M+ customer records, enhancing segmentation, personalization, and product targeting across Jio services.
  • Developed and automated KPI dashboards for the Jio Mobility division using real-time data streams, enabling C-level performance tracking and data-driven decisions.
  • Led and mentored a cross-functional team of 6+ engineers to deliver high-impact data products and optimize pipeline orchestration using Apache Airflow, boosting delivery velocity by 25%.
  • Refactored legacy Spark jobs and enhanced pipeline modularity, leading to a 20% reduction in infrastructure costs and improved data quality SLAs.
  • Core Tools/Tech: Apache NiFi, Apache Spark, Hive, Hadoop, Apache Airflow, JBDL, SQL, Python, Scala, CI/CD, Data Lakehouse, Linux, HDFS, Power BI/Tableau
Apache NiFiApache SparkHiveHadoopApache AirflowSQL+4

SDE - Big Data Engineer

Jul 2022Jun 2024 · 1 yr 11 mos · Bengaluru, Karnataka, India · On-site

  • ✅ Data Engineering & Streaming
  • Engineered a real-time log analytics platform, ingesting 1K+ API logs/sec into Kafka and Hive, with alerting mechanisms to monitor suspicious activities and service downtime.
  • Architected a streaming pipeline using WhatsApp APIs to engage 400M+ 4G/5G users and re-target 10K+ users in the eKYC funnel, driving upsell for Jio-UPI and AirFiber.
  • Optimized 5G/4G analytics pipelines in Azure Databricks, processing 200K+ XML files and integrating results into UI dashboards, reducing operations response time by 35%.
  • Built customer experience pipelines by generating Elasticsearch indices for 400M+ users, delivering actionable insights on HSI, voice, data availability, and complaints.
  • Developed operational dashboards for 1,072 Jio centers with real-time alerts, enabling state heads to take immediate action on impacted towers.
  • Implemented Spark Streaming pipelines for 2.8M+ AirFiber customers, enabling near real-time monitoring and automated resolution alerts.
  • Migrated and historically loaded 2.1 PB of data from HDFS to Ozone, using SCD2 to track data versioning and set up proactive alerting for data gaps.
  • ✅ API & Platform Engineering
  • Designed and deployed low-latency streaming APIs using Google Kubernetes Engine (GKE), Bigtable, and BigQuery, processing real-time customer and product data at scale.
  • Built full-stack API monitoring tools with the Play Framework, reducing downtime by 40% and improving system observability.
  • Engineered a high-throughput Ignite-based API platform, supporting 10K+ concurrent users with sub-second latency and streamlined access to Oracle, MySQL, and Hive data.
  • Automated DevSecOps workflows using Azure DevOps, enforcing security policies and reducing compliance incidents by 20% across 12+ projects.
  • Core Tools/Tech: Apache Kafka, Spark Streaming, Azure Databricks, Elasticsearch, Ozone, Hive, GKE, BigQuery, Bigtable, Apigee, Ignite, MySQL, Oracle, Python, Scala, CI/CD, REST APIs, Play Framework, Azure DevOps
Apache KafkaSpark StreamingAzure DatabricksElasticsearchOzoneHive+6

Hexanovate

2 roles

Growth Manager

Promoted

Jan 2021Aug 2021 · 7 mos

  • Led growth initiatives across product and marketing, identifying and executing key strategies that increased product adoption and user retention by 30%.
  • Translated user research and analytics into actionable UI/UX improvements, reducing onboarding friction by 25%.
  • Created wireframes and mockups to visualize the end-to-end customer journey, improving developer collaboration and design handoffs.
  • Drove stakeholder alignment through data storytelling and visual reporting, securing key partnerships and pilot customers.
  • Core Skills: Growth Strategy, Product Analytics, UI/UX Design, Stakeholder Management, Funnel Optimization, Customer Retention
Growth StrategyProduct AnalyticsUI/UX DesignStakeholder ManagementProduct Management

Marketing Executive

Mar 2020Dec 2020 · 9 mos

  • Planned and executed digital campaigns across SEO, Google Ads, and social media, increasing lead generation by 3x.
  • Conducted A/B testing and web analytics, leading to a 40% improvement in campaign ROI.
  • Managed product lifecycle and led a team of 4, ensuring alignment across content, UI/UX, and marketing.
  • Improved client website performance by 2x through technical SEO and UI recommendations.
  • Core Skills: Digital Marketing, Google Analytics, SEO/SEM, Product Lifecycle Management, Team Leadership, Conversion Rate Optimization
Digital MarketingGoogle AnalyticsSEO/SEMProduct Lifecycle ManagementProduct Management

Education

Indian Institute of Technology, Indore

Bachelor's degree — Civil Engineering

Jan 2018Jan 2022

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