Saket Patne
Data Engineering Leader & Cloud Data Architect | AWS & Databricks Expert | Building Scalable Data & ML Platforms | Data Platforms & Analytics
- Role
- Senior Lead Engineer 2 at John Deere
- Location
- Pune, MH, IN
- LinkedIn followers
- 500 followers
About Saket Patne
I am a Data Enthusiast with experience in leading data engineering, machine learning, and MLOps teams to deliver scalable, cloud-native data platforms. I have successfully built and managed high-performing teams (16+ engineers) and architected large-scale data pipelines that process petabyte-scale IoT, imagery, and machine data across global regions.My expertise lies in designing and delivering cost-optimized, secure, and compliant data platforms using AWS (S3, Lambda, Step Functions), Python, Databricks, Delta Lake, Kafka, Teradata and Snowflake. I’m passionate about building engineering cultures focused on excellence, automation, and continuous improvement.I thrive in roles that blend technical depth with leadership - enabling organizations to harness their data at scale for AI/ML innovation and business transformation.Core strengths: Cloud data architecture | AWS | Databricks | Snowflake | Teradata | Kafka Data platform engineering | Real-time & batch pipelines | IoT, telemetry data Data governance | Anonymization | GDPR compliance | Cost optimization Team leadership | Mentoring | Cross-functional collaboration Infrastructure as Code | CI/CD | Terraform | GitHub Actions
Experience
Senior Lead Engineer 2
May 2022 — Present · Pune, IN
Led a cross-functional team of 16+ data engineers, ML engineers, and MLOps engineers to build and scale data platforms powering global business functions.• Designed and delivered cloud-native, serverless data pipelines processing petabyte-scale data using AWS, Databricks, Delta Lake.• Reduced data onboarding time from days to hours via automation, IaC (Terraform), and standardized processes.• Implemented GDPR-compliant anonymization pipelines for customer and company-owned data across multiple regions (EU, Brazil, USA).• Delivered image data pipeline to support CV/ML teams, reducing processing times by 40% and simplifying access to imagery data.• Collaborated with business and engineering stakeholders across USA, Europe, and India to align platform architecture and data governance practices.
Education
Amravati University
Bachelor of Engineering - BE, Computer Science
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