Jobin Cyriac

Data Engineer

Indore, Madhya Pradesh, India3 yrs 11 mos experience

AI EnabledHighly Stable

Key Highlights

Expert in building scalable data ecosystems on Databricks.
Proficient in Azure Data Engineering and governance.
Hands-on experience with end-to-end data migration.

Stackforce AI infers this person is a Data Engineer specializing in SaaS and cloud-based data solutions.

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Skills

Core Skills

Data EngineeringData Governance

Other Skills

Azure DatabricksAzure Data FactoryDatabricksDelta LakePySparkMicrosoft AzureMicrosoft SQL ServerBig DataArtificial Intelligence (AI)Data ArchitectureData WarehousingSynapse AnalyticsStream AnalyticsAzure Logic AppsAzure Cosmos DB

About

Hey, I am presently associated with Accenture with robust Data Engineering background around Databricks Unified Platform Data and AI Projects, de-cluttering, scaling, migrating and orchestrating end-to-end Data Pipelines. I possess hands-on experience in Azure cloud platforms such as Data -Lake, Azure Data-Factory, Databricks Unified Data Platform, Microsoft Fabric Data Platform, Azure Dev-Ops, Azure Data Lake Gen2, Azure Blob Storage and Azure SQL Server . Implemented end-to-end DWHs on Microsoft Fabric, Azure Data Platform as well as Databricks. Experienced Data migration from various data sources like SQL, Sharepoint, REST Endpoints, File shares to Azure Data Lake, SQL DB, and File shares using Azure Data Factory. Hands-on experience in Azure DevOps for building, deploying and testing builds continuously and maintaining Delivery Consistent. Azure Pipelines: a language, platform and cloud-agnostic CI/CD platform with support for containers or Kubernetes. Azure Repos: Provides cloud-hosted Private Git Repos.

Experience

Accenture in india

Senior Data Engineer

Dec 2025 – Present · 3 mos · Greater Indore Area · Hybrid

Designing, building, and governing scalable data ecosystems on the Databricks Unified Data & AI Platform, enabling enterprise analytics, AI/ML workloads, and GenAI-driven intelligence. I work across the end-to-end data lifecycle — ingestion, transformation, governance, and high-value consumption — ensuring that data is secure, reliable, and AI-ready.
Key Areas of Work:
Architecting ELT pipelines with Delta Lake, Unity Catalog, and Databricks SQL, ensuring trusted, governed, and high-quality data assets.
Developing large-scale transformations and feature engineering using PySpark for BI, ML, and operational data workloads.
Implementing strong data governance, lineage, privacy, and compliance frameworks for secure enterprise adoption.

Azure DatabricksAzure Data FactoryData EngineeringData Governance