Sr. Azure Data Architect
Send a job offer directly to this candidate
I have over 15 years of Intensive hands-on experience in designing and implementation of both cloud (azure) and on-premises end-to-end data analytics solution architecture, data warehouse, data architecture, data catalogue, data governance, data engineering, data lakehouse, big data, data integration, data mart, technical guidance to the data analytics team, defining coding standard and design pattern, azure data platform set-up, building data pipeline, azure resources provisioning and configuration, data analysis, data profiling, performance tuning, data migration, database administration, metadata management, proof of concepts (PoC), proof of technology (PoT), digital transformation, data management, complex sql queries, tables, views, stored procedures, and query optimization.
I am well organized, self-motivated and I have strong analytical, problem solving and decision-making skills, as well as demonstrated ability to explain complex technical issues and respective solutions to both technical and non-technical audiences.
Azure synapse analytics, azure data factory (ADF), microsoft purview, azure data lake storage (ADLS) gen2, delta lake, azure blob storage, azure databricks, sql server, oracle, SSIS, ETL, ELT, t-sql, snowflake, azure sql database, azure key vault, power BI, azure analysis services, azure log analytics, azure event hubs, azure streaming analytics, SaaS, PaaS, IaaS, private endpoints, azure private link, azure monitor, agile, azure devOps, CI/CD, PySpark, spark sql, python, API, denodo, enterprise architect, and microsoft visio.
Microsoft Fabric, OneLake, data mesh, data fabric, data vault, Azure cosmosDB, MongoDB, GitHub and GitHub Actions, Azure AI.
Governments, supply chain, health care, utility, automobile industries, mining industries, retail, insurance, etc.
I have over 15 years of Intensive hands-on experience in designing and implementation of both cloud (azure) and on-premises end-to-end data analytics solution architecture, data warehouse, data architecture, data catalogue, data governance, data engineering, data lakehouse, big data, data integration, data mart, technical guidance to the data analytics team, defining coding standard and design pattern, azure data platform set-up, building data pipeline, azure resources provisioning and configuration, data analysis, data profiling, performance tuning, data migration, database administration, metadata management, proof of concepts (PoC), proof of technology (PoT), digital transformation, data management, complex sql queries, tables, views, stored procedures, and query optimization.
I am well organized, self-motivated and I have strong analytical, problem solving and decision-making skills, as well as demonstrated ability to explain complex technical issues and respective solutions to both technical and non-technical audiences.
Azure synapse analytics, azure data factory (ADF), microsoft purview, azure data lake storage (ADLS) gen2, delta lake, azure blob storage, azure databricks, sql server, oracle, SSIS, ETL, ELT, t-sql, snowflake, azure sql database, azure key vault, power BI, azure analysis services, azure log analytics, azure event hubs, azure streaming analytics, SaaS, PaaS, IaaS, private endpoints, azure private link, azure monitor, agile, azure devOps, CI/CD, PySpark, spark sql, python, API, denodo, enterprise architect, and microsoft visio.
Microsoft Fabric, OneLake, data mesh, data fabric, data vault, Azure cosmosDB, MongoDB, GitHub and GitHub Actions, Azure AI.
Governments, supply chain, health care, utility, automobile industries, mining industries, retail, insurance, etc.
Honours Diploma in Computing from NIIT
B.Sc. & M.Sc. in Physics from Shahjalal University of Science and Technology
