Ashutosh Samanta

CEO

Bengaluru, Karnataka, India8 yrs 3 mos experience

Highly Stable

Key Highlights

Expert in architecting scalable data platforms.
Proven track record in MLOps automation.
Skilled in cloud migration and data governance.

Stackforce AI infers this person is a SaaS data architect with expertise in cloud-native data solutions.

Contact

ashutoshsamanta11@gmail.com LinkedIn

Skills

Core Skills

Azure DatabricksMlopsAzure Delta Live TablesAzure Data FactorySparkPyspark

Other Skills

Data GovernanceDatabricksAzure Data ExplorerJavaAmazon KinesisDelta Live TableAzure Data LakeData ArchitectsSQLPython (Programming Language)Engineering ConsultingThe Databricks Data Intelligence PlatformApache SparkExtract, Transform, Load (ETL)Microsoft Azure

About

Architecting the future of data, one pipeline at a time. 🌍🚀 Most people see messy datasets. I see systems waiting to scale. ⚡ From Databricks & PySpark wizardry 🧩 to cloud-native architectures ☁️ —I design platforms that don’t just run… they run businesses forward. Not here to chase followers. I’m here to build a tribe. A tribe that knows data isn’t just an asset… It’s the edge. 🗡️ 🔥 Follow me if you want to learn how to bend data platforms to your will — and build systems that make companies impossible to ignore.

Experience

Fractal

Architect

Oct 2025 – Present · 5 mos · Bengaluru, Karnataka, India · Hybrid

Zs

Engineering Specialist

May 2022 – Sep 2025 · 3 yrs 4 mos · Bengaluru, Karnataka, India · Hybrid

Analytical Workbench: Architected a multi-tenant analytical platform on Databricks and Synapse with role-based access for Data Governance, R/SAS integration and developed Data Quality scripts.
Streaming with Azure DLT: Built a real-time streaming pipeline using Azure Delta Live Tables for ingesting SAP data, integrated with ADF for micro-batching and hybrid orchestration.
MLOps: Designed and led end-to-end MLOps automation using GitHub Actions and CI/CD, with features like cross-region promotion, model monitoring, lineage tracking, and email alerts; managed a 7-member delivery team, resulted in cost optimization with ~70% reduces run time.
ETL Migration to Azure: Migrated on-premise ETL pipelines to Data Lakehouse using Azure Data Factory and Databricks, building scalable, secure, and maintainable data orchestration workflow.
GenAI Codebase Refactoring: Led a codebase refactoring effort for a Generative AI platform, modularizing ML pipelines, improving maintainability, and enabling faster delivery with better engineering practices.

Azure DatabricksPySparkData GovernanceAzure Delta Live TablesAzure Data FactoryMLOps

Abzooba

Senior Big Data and Cloud Developer

Mar 2021 – Apr 2022 · 1 yr 1 mo · Pune, Maharashtra, India · On-site

Worked on a cloud migration project where I’ve developed ADF pipelines and scripts to migrate tables from On Premise Teradata to Azure Synapse.
Worked on a use case of covid19 data analysis using Azure Data Explorer and Azure Event HUB.

Azure Databricks

Mindtree

2 roles

Senior Software Engineer

Promoted

Jan 2020 – Mar 2021 · 1 yr 2 mos · On-site

Currently working as Big Data/Hadoop/Spark Developer
Development of applications using Spark, Java, Amazon Kinesis
Extraction of data from Google Analytics and ingestion to NoSQL data stores such as Cassandra and HBase using Spark Application with DataFrame API.
Developed application in Spark for Integration with MDM tool Reltio.
Ingestion of customer related data from various source systems into multiple data sources (Hive, Cassandra and HBase) using Spark Streaming applications involving Amazon Kinesis.
Creation of reconciliation scripts using unix scripting and Scala scripts.
Scheduling Spark Applications using Oozie.
Developed Spark application for Data Quality check in order to apply filter or cleansing on data file.
Migration of code from Spark1.6 to Spark2.2. Use of DataSets.
Developing Customer Claim Validation System using Databricks and PySpark.

Azure DatabricksPySpark