Sreedeep S.

CEO

Bengaluru, Karnataka, India12 yrs 6 mos experience

Key Highlights

Expert in Databricks and Data Architecture.
Proven track record in building data foundations.
Strong leadership in data governance and strategy.

Stackforce AI infers this person is a SaaS expert with a strong focus on data architecture and governance.

Contact

Skills

Core Skills

DatabricksSolution ArchitectureEtlAzure Data FactoryAzure IotData ArchitectureData GovernanceData ModelingData Warehouse Architecture

Other Skills

azure databricksAzure techAmazon S3VaultGitlabMicrosoft Entra IDpurviewopenmetaevent hubApache KafkaAzure Data Lakeopen metadataGitiot hubHashiCorp

About

Databricks COE Leader | Principal Architect | Tech SME I am a Principal Architect and Databricks COE Leader with deep expertise in Data, Analytics & Generative AI. My work sits where strategy meets execution , helping enterprises build the right data foundations, adopt modern platforms, and put Gen AI to real use. I don't just design systems. I help teams think differently about data.Whether it's a lakehouse architecture, an LLM-powered pipeline, or a Center of Excellence from scratch , I bring clarity, structure, and a bias for impact.Let's build something that matters.

Experience

12 yrs 6 mos

Total Experience

2 yrs 3 mos

Average Tenure

1 yr

Current Experience

Tiger analytics

Principal Architect

Apr 2025 – Present · 1 yr · Bengaluru, Karnataka, India

Impetus

Solutions Architect

May 2024 – Apr 2025 · 11 mos · Bengaluru, Karnataka, India · Hybrid

1. Spearheaded effort to design and implement well-architected Databricks framework focusing on governance, operational excellence, security, and performance metrics.
2. Streamlined user onboarding on enterprise platform through DevOps and IAC automation.
3. Implemented an automated ETL system using a metadata-driven approach for both batch and real-time solutions for Kafka events.
4. Developed real-time streaming pipeline from on-prem IoT devices to Lakehouse using Azure IoT Hub, Event Hub, and Databricks.
5. Designed and enhanced dimension model using hybrid approach, optimizing Power BI dashboards.
6. Engaged with various customers while at Databricks(RSA), crafting strategic architectural solutions.
7. Engaged closely with pre-sales and sales divisions to manage RFPs and upcoming requirements.
8. Implemented Databricks Asset Bundle framework alongside Terraform IaC for infrastructure and CICD configuration

azure databricksDatabricksAzure techAmazon S3VaultGitlab+11

Ab inbev

2 roles

Principal Architect

Promoted

Feb 2024 – May 2024 · 3 mos

Senior Architect

Sep 2022 – Feb 2024 · 1 yr 5 mos

1. Developed and implemented Data Mesh Architecture in Azure utilizing CSA framework.
2. Spearheaded the solution architecture and implementation plan of an enterprise cloud-based data and analytics platform for onboarding zones and domains.
3. Crafted Medallion Layer, Guidelines, and Best Practices for this platform.
4. Developed a solution to manage late-arriving dimensions in streaming logic.
5. Developed metadata-driven pipeline for data extraction from SAP ECC(CDC using Qlik Replicate and Aexorsoft) to Delta Lake in Azure Databricks
6. Designed unified semantic solution through Semantic model implementation in Timbr.
7. Streamlined Lakehouse operations through end-to-end redesign and migration from Azure Synapse to Databricks.
8. Integrated Workday Security groups with AAD and Unity Catalog for efficient data access control.
9. Implemented comprehensive Data Governance solution utilizing Microsoft Purview and Unity Catalog
10. Contributed to architectural board decisions on technical roadmaps and vendor management.
11. Engaged in discussions on potential technology collaborations with external vendors.

DatabricksAzure Data Factoryazure databricksAzure Data Lakeevent hubiot hub+13

Citi

AVP (Senior Apps Dev Programmer Analyst)

Feb 2022 – Sep 2022 · 7 mos · Pune, Maharashtra, India

Tata consultancy services

Assistant Consultant

Dec 2020 – Feb 2022 · 1 yr 2 mos · India

1. Requirement to develop a Datalake for liquidity management system.
2. Consult with various departments to determine business needs and advise on optimal solutions.
3. Crafted Logical Model and Physical Model for Liquidity Datalake utilizing ERstudio.
4. Relocated entire dataset of trading and treasury applications to Azure Data Lake.
5. Executed data extraction from source systems to Azure storage services utilizing Azure Data Factory.
6. Processed data within Azure Databricks after successful ingestion.
7. Developed data strategies for Data Warehouse, newly onboarded data mart, and ETL designs.
8. Designed Kimball Business Process Matrix for pinpointing dimension and events.
9. Developed Denodo Data model to virtualize data for downstream systems based on business needs.
10. Developed Azure streaming pipelines leveraging Databricks and Delta Lake capabilities.

Azure Data Factoryazure databricksAzure Data LakeAzure techInformaticaInformatica PowerCenter+5

Cognizant

Associate

Aug 2013 – Dec 2020 · 7 yrs 4 mos · Japan · On-site

1. Implemented Hadoop-based on-premise data warehouse to extract data from Salesforce and mainframe system.
2. Implemented seamless workflows for retrieving and processing data from external systems.
3. Built metadata driven pipeline to load data from AS400 to Oracle data warehouse.
4. Utilized Informatica PowerCenter Advanced Transformation, including Java Transformation and Web Service.
5. Implemented efficient data integration processes using Apache NiFi for populating Hive tables.
6. Achieved seamless integration of Informatica PowerCenter and Microsoft Active Directory through Java-based transformation.
7. Parsed Macro Enabled Excel File (.xlsm) and Multi Tab Excel File on Infirmatica B2B DT
8. Utilised Informatica PowerExchange to read data from VSAM Files and load it into Oracle Tables after Normalization
9. Migration of existing Informatica Pipeline to AWS Glue and implement unstructured data transformation logic in EMR
10. Build Conceptual And Logical Data model