02/23/2026 updated
100 % available
Data Architect, Senior Data Engineer
BENGALURU, India
Only remote
Bachelore of EngineerAbout me
• 15+ years of experience in Data Engineering, Architecture, and Analytics across cloud, on-premises, and hybrid ecosystems. • Expertise in end-to-end data solutions, including ETL pipelines, data lakes, data modelling, and ML integration.
Data AnalysisAnalysis Of Variance (ANOVA)Microsoft AzureCloud ComputingDatabasesData As A ServicesData ArchitectureInformation EngineeringData IntegrationExtract Transform Load (ETL)Data ManagementData MiningData SystemData WarehousingRelational Databases
ANOVA, Azure data Factory, Azure Data Lake, Cloud, Analytics, analyze data, Data Architect, Data Integration, Analytics Platform, Data Mining, Dataflow, data flow, data solutions, Data Warehousing, Data Warehouse, Data services, database, databases, ETL Tools, XP, Data Engineer, Computer Science, KNIME, Linear Regression, Logistic Regression, Machine Learning Algorithm, MicroStrategy, Azure, SQL Server, SharePoint, Windows NT, OLAP, Operating Systems, Oracle 10g, 9i, Oracle SQL, Power BI, Python, Random Forest, RDBMS, SAP, SAP BI, SAP ECC, SAP BW, Azure SQL, Azure SQL Database, SQL, salesforce, SAP Business Objects, Business Objects, Business Object, Serverless, Snowflake, Application Delivery, system requirements, Hypothesis testing
Experience
Professional experience10+ years
Freelancer since2021
Languages
EnglishGood
Project history
* Develop Dataflow with different data source
(Oracle SQL/SQL Server) in Azure data factory
(ADF)
* Create a Pipeline according to business
requirement in Azure data factory. And with the
help of container in Blob to store the files. And
schedule pipeline according to data flow
requirement.
* Develop dashboards and visualizations to help
business users analyze data as well as providing
data insight to upper management with Power BI.
* Created source views for implementing ETLs.
(Oracle SQL/SQL Server) in Azure data factory
(ADF)
* Create a Pipeline according to business
requirement in Azure data factory. And with the
help of container in Blob to store the files. And
schedule pipeline according to data flow
requirement.
* Develop dashboards and visualizations to help
business users analyze data as well as providing
data insight to upper management with Power BI.
* Created source views for implementing ETLs.
Current Bengaluru
* Design and implement end-to-end data solutions
(storage, integration, processing, visualization) in
Azure. And implement database solutions in
Azure SQL Data Warehouse, Azure SQL
* Coordinated the analysis, design and long-term
build-out of complex enterprise information
architectures.
* Extracted the data from different
applications (salesforce and
SharePoint) and built the model in
Azure data bricks with delta Tables
with Medallion Architecture.
(Bronze, Silver, Gold).
* Assisted in developing system requirements,
analyzes transactions and data volumes, and
designs & develops complex databases and
applications Participated in large-scale
development initiatives including product
selection and implementation.
* Architect & implement medium to large scale BI
solutions on Azure using Azure Data Platform
services (Azure Data Lake, Data Factory, AZURE
SQL DW, Azure SQL Database). Ingestion of data
into Azure Data Lake store and transformed in
Azure data factory and stored in Azure SQL
Database.
* Build model on Linear regression/Random
Forest/Gradient Boosting in Python for Data
Science Project
Business Intelligence: SAP
Business Objects 4.2/3.1/XI
R2/ 6.5/ 6.1X/ 5.X, SAP BI,
Data Integrator,
Informatica 9.1/9.6.1.
MicroStrategy 10.11,2019
ETL Tools:
Informatica9.1/9.6.1and
Business Objects Data
services 4.2, Azure Data
Bricks
OLAP: Business Object
Designer 4.1/ XI R2/Xi3.1,
SparkSQL
DB: SQL Server, Azure SQL
Database
RDBMS : Oracle 10g/ 9i/ 8i,
SQL Server, SAP BW 7.4, SAP
ECC 6.0.
Operating Systems:
Windows NT, Windows
98/XP/2000/2003.
* Design and implement end-to-end data solutions
(storage, integration, processing, visualization) in
Azure. And implement database solutions in
Azure SQL Data Warehouse, Azure SQL
* Coordinated the analysis, design and long-term
build-out of complex enterprise information
architectures.
* Extracted the data from different
applications (salesforce and
SharePoint) and built the model in
Azure data bricks with delta Tables
with Medallion Architecture.
(Bronze, Silver, Gold).
* Assisted in developing system requirements,
analyzes transactions and data volumes, and
designs & develops complex databases and
applications Participated in large-scale
development initiatives including product
selection and implementation.
* Architect & implement medium to large scale BI
solutions on Azure using Azure Data Platform
services (Azure Data Lake, Data Factory, AZURE
SQL DW, Azure SQL Database). Ingestion of data
into Azure Data Lake store and transformed in
Azure data factory and stored in Azure SQL
Database.
* Build model on Linear regression/Random
Forest/Gradient Boosting in Python for Data
Science Project
Business Intelligence: SAP
Business Objects 4.2/3.1/XI
R2/ 6.5/ 6.1X/ 5.X, SAP BI,
Data Integrator,
Informatica 9.1/9.6.1.
MicroStrategy 10.11,2019
ETL Tools:
Informatica9.1/9.6.1and
Business Objects Data
services 4.2, Azure Data
Bricks
OLAP: Business Object
Designer 4.1/ XI R2/Xi3.1,
SparkSQL
DB: SQL Server, Azure SQL
Database
RDBMS : Oracle 10g/ 9i/ 8i,
SQL Server, SAP BW 7.4, SAP
ECC 6.0.
Operating Systems:
Windows NT, Windows
98/XP/2000/2003.