Arun Kiran Chinta

WORK HISTORY

EDUCATION

ABOUT ARUN KIRAN CHINTA

Versatile IT Professional Experience in Azure Cloud Over 4 years, working as Technical Project Manager on Azure Cloud Technologies. Over all 14+ Years in IT Experience. in Software Development, Azure Data Factory (ADF) V2. Managing Database, AZURE Data Platform services (Azure Data Lake (ADLS), Data Factory (ADF), Data Lake Analytics, Azure SQL DW), SQL Server, Oracle, Data Warehouse,Data Engineering. • Knowledge on Python, Machine Learning, Predictive Analytics, Business Analytics, Project Management, Microsoft Power BI, Mongo DB, Azure SQL Databases, Azure Data Factory (ADF), Azure Synapse Analytics DB and reporting tools used to develop Clinical IRT Solutions. • Strong Knowledge on Power BI to import data from various sources such as SQL Server, Azure SQL DB, SQL Server Analysis Services (Tabular Model), MS Excel etc, • Experience in large scale data migration from multiple upstream systems to downstream systems using ADF, ADLS, Synapse Analytics, SQL. • Build multiple Data Lakes. Build how the data will be received, validated, transformed, and then published • Plan and Develop roadmaps and deliverables to advance the migration of existing solutions on-premises systems/applications to Azure cloud • Experience with Azure transformation projects and Azure architecture decision making Architect and implement ETL and data movement solutions using Azure Data Factory (ADF. • Good Knowledge on creating Computed columns and computed tables in Power BI using DAX Queries. • Created Power Bi Dashboards with managing access based on different user roles. • Used Power Query and Power Pivot to do the ETL job and transfer the data ready for reporting through visualizations. • Created a prediction algorithm into the clinical supplies to determine the rate of medication damaging into different geographical locations and taking precautionary steps to reduce the rate of medication damaging. • Hand-on experience in data modelling, advanced SQL, Advanced excel, NoSQL Databases like Mongo dB, big data and cloud, Hive querying and applied these concepts to draw valuable insights. • Increased Operational efficiency by introducing process improvements which led to achieve 35% reduction into the time spent by the software engineering team which helped the company to resource the team in other areas. • Led a team of Software Engineers in dealing with line management and functional management activities.