Sriram Ramasamy Maniraja
Data Architect
Singapore
Summary
Experienced Azure and Databricks Data Architect with 9 years in developing large-scale data platforms and streaming pipelines. Delivered significant cost savings of €1.3M annually through optimized storage and governance strategies. Expertise in PySpark, ADF, and Power BI, alongside strong capabilities in GenAI and LLM integration. Known for providing efficient and scalable data solutions that meet global market demands.
Overview
9
9
years of professional experience
3
3
Certifications
Work History
Data Architect
Mercedes-Benz Singapore (Consulting – Shield Platform)
02.2023 - Current
- Designed and implemented end-to-end Azure data solutions using ADF, Databricks, Delta Lake, and Power BI.
- Built real-time streaming pipelines with Kafka + Databricks Structured Streaming for 17 global markets.
- Applied Z-Ordering, Liquid Clustering, Adaptive Query Execution (AQE), and Salting-based partitioning in Databricks pipelines, significantly improving query performance and reducing reporting latency across large-scale datasets.
- Developed scalable data models across Silver/Gold layers supporting enterprise analytics & BI.
- Partnered with Architecture & Security teams to enforce cloud security best practices and compliance.
- Operationalized ML models with Data Science teams, enabling predictive/prescriptive analytics. Implemented monitoring frameworks (Databricks, ADF, Prometheus), ensuring reliability for 30+ prod pipelines. Automated cluster performance tuning, reducing costs and improving efficiency.
- Designed a Blob Inventory framework to identify unused datasets, optimizing storage tiers.
- Drove cloud cost governance, delivering €460K+ annualized savings.
- Delivered AI-powered metadata automation using LLMs & Agentic AI.
- Migrated 20+ workspaces from Hive Metastore Unity Catalog for improved governance. Administered 200+ Power BI workspaces, 1,000+ dashboards, and migrated to Fabric.
Data Architect
Accenture
02.2022 - 01.2023
- Developed internal process optimizations to streamline automation of repetitive tasks, expediting data management
- Engineered data models to meet intricate analysis demands.
- Oversaw migration to Azure on-premises, implementing ADLS, Data Factory, Databricks, SQL DW, and Logic Apps. Developed PySpark pipelines for Teradata and Oracle while ensuring monitoring through Logic Apps.
- Converted various legacy systems to updated technologies, lowering expenses and improving efficiency of computing tasks.
- Constructed and communicated innovative business information solutions.
- Oversaw offshore support team, ensuring adherence to SLA delivery and comprehensive stakeholder reporting.
Data Engineer
Cognizant
12.2020 - 02.2022
- Enhanced data processing through implementation of efficient ETL pipelines and optimization of database design.
- Migrated claims data from DB2 and NAS to Azure Data Lake Storage plus Delta Lake. Constructed PySpark pipelines, incorporating data validation and data quality checks. Implemented CI/CD processes using GitHub for production pipeline automation.
- Partnered on ETL (Extract, Transform, Load) tasks, ensuring data integrity and confirming pipeline stability.
- Elevated data quality through comprehensive cleaning, validation, and transformation processes.
- Streamlined routine tasks through automation with Python scripts, enhancing team productivity and minimizing manual errors.
Senior Data Analyst
Capgemini
02.2017 - 10.2020
- Reduced manual data entry errors by designing and deploying automated ETL processes to transform raw data into usable formats.
- Contributed to overall organizational growth through continuous improvement of data analytics capabilities and processes.
- Analyzed large amounts of data to identify trends and find patterns, signals and hidden stories within data.
- Assessed large datasets, drew valid inferences and prepared insights in narrative or visual forms.
- Created and automated data visualizations to present insights and tell compelling stories.
Education
Bachelor of Engineering -
Anna University
Chennai 05.2016
Skills
Azure Data Factory (ADF)
Azure Databricks (PySpark, Delta Lake)
Unity Catalog & Hive Metastore (HMS)
Data Modeling (Silver / Gold / UDM)
Medallion Architecture
Structured Streaming (Kafka / EventHub)
SQL (T-SQL, Spark SQL)
Python (ETL Automation, Scripting)
Power BI (DAX, Data Modelling)
Liquid Clustering, Z-Ordering, AQE
Delta Lake Performance Optimization
Data Quality & Governance
FinOps (Cost Optimization & Monitoring)
Cloud Storage Optimization (Blob Inventory, Tiering)
CI/CD (Git, Azure DevOps)
🔹 AI / GenAI Skills
Generative AI (GenAI)
Large Language Models (LLM) — GPT, Claude, Llama
Prompt Engineering
Retrieval Augmented Generation (RAG)
Vector Databases (FAISS, Chroma, Pinecone)
Embeddings & Semantic Search
Databricks GenAI & AI Functions
Certification
Azure Data Engineer Associate – DP-200
Timeline
Azure AI Engineer Associate – AI-102
12-2025
Azure Solutions Architect Expert – AZ-305
11-2025
Data Architect
Mercedes-Benz Singapore (Consulting – Shield Platform)
02.2023 - Current
Data Architect
Accenture
02.2022 - 01.2023
Data Engineer
Cognizant
12.2020 - 02.2022
Azure Data Engineer Associate – DP-200
12-2020
Senior Data Analyst
Capgemini
02.2017 - 10.2020
Bachelor of Engineering -
Anna University