Shahed Munir
Data Architect & Data Engineer Oracle Gcp Azure Aws, Snowflake, Databricks @Deliverbi
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WORK HISTORY
Data Architect & Data Engineer Oracle Gcp Azure Aws, Snowflake, Databricks @Deliverbi
End-to-end delivery of cloud data warehousing, lakehouse, and semantic layer solutions across GCP, Azure, and AWS, owning everything from architecture and platform design through development, analytics, and reporting. AI/ML Solutions. OAC, FDI, EBSArchitected and implemented modern data platforms using BigQuery, Snowflake, Azure Databricks, Microsoft Fabric, and Many other toolsets and technologies. Led data warehouse and lakehouse architecture, including dimensional modeling (star/snowflake), performance tuning, cost optimization, and large-scale cloud migrations.Designed, built, and governed semantic layers across multiple cloud technologies, enabling consistent business metrics and self-service reporting. Delivered semantic models using Snowflake, Azure Databricks / Unity Catalog, Microsoft Fabric semantic models (Power BI), and BigQuery. Teradata, Oracle, MSSQL Databases,NOSQL DB\'s, ad-hoc analysis, and advanced analytics. Trino and Hadoop, AWS Lambda,Glue,S3,RDS,RedshiftHands-on across the full data lifecycle:• Architecture: platform selection, data modeling, security, governance• Development: ELT pipelines, transformations, orchestration, CI/CD• Analytics & Reporting: semantic modelingBuilt scalable ELT pipelines and orchestration frameworks using ADF, Databricks, BigQuery, DBT, Apache Airflow, Flink, Spark, Lakeflow,Matillion and many cloud-native services. Established data governance and security of data.Implemented CI/CD for data platforms, Realtime data platforms. Across multiple sectors around the world.Oracle & Legacy Data Platform Expertise:Extensive experience across Oracle data warehousing and BI ecosystems, including OBIEE 12c, Oracle Analytics Cloud (OACS), OBIA (all modules), ODI. Strong background in Oracle Databases, PL/SQL, Fusion Middleware, WebLogic, Informatica, all relational databases.Amazon Bedrock | Q | AI/MLHands-on with SQL, Python, Unix/Linux, shell scripting, and version control (Git/SVN).
SKILLS
ABOUT SHAHED MUNIR
I am an all-round Data Architect and Data Engineer specialising across GCP, Azure, AWS, and Oracle Cloud platforms. I focus on developing high-performance data solutions leveraging BigQuery, Dataproc, Databricks, Snowflake, and AWS Native Glue & Azure native services Fabric to name a few, ensuring that data governance, lineage, and security are naturally baked into every build. As a long-term BI technologist, I am hands-on in architecting and modelling and developing solid data warehouses and lakes, gathering requirements, and setting up clean enterprise-level frameworks. I remain a fully active developer, building ETL/ELT pipelines and visualizations across a multitude of toolsets with global industry exposure. With over 12 years of experience on multiple cloud platforms and a specialisation in Business Intelligence for over 20 years, I am highly proficient in using SQL and Python for data engineering. I’m great at large-scale data processing and Kafka & API’s for real-time streaming, managing the full 7-phase SDLC from design to production. I have lead development teams while remaining a hands-on Architect/Developer. My visualisations expertise spans Power BI, Looker, and the Oracle stack (OACS, OBIEE, FDI), supported by 17+ years as a database specialist in Oracle, MSSQL, Postgres, and Teradata. I deliver hands-on Databricks integrations and AI/ML implementations, bridging the gap between technical builds and enterprise standards and defining standards too. My deep Oracle background includes EBS (R11/R12/Fusion), ODI, and Informatica. I work effectively with senior stakeholders to communicate technical solutions clearly and naturally incorporate FinOps and cost optimization into my designs. Whether I’m configuring cloud networks or using Python and SQL to solve complex problems, my focus is on delivering reliable, cost-effective, and production-ready data solutions. Data Migration from On prem systems and navigation of cloud adaptation strategies.
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