Kiran Kumar Kolla
Database Engineer and Developer
Kiran is a database engineer with over ten years of expertise implementing data lakes, data integrations, and data warehousing solutions. In addition to data engineering work with Cognizant and wireless with NBN Co, Kiran has enterprise experience in financial services from MetLife, ING Group, to Bank of America. He is highly motivated when challenges are thrown at him, as they bring out his best! Kiran loves to program and use logical thinking to solve complex problems efficiently.
Portfolio
Experience
Data Warehousing - 11 yearsPython 3 - 4 yearsAzure SQL - 2 yearsAzure DevOps - 2 yearsAzure Functions - 2 yearsAzure Data Factory - 2 yearsDatabricks - 2 yearsMicrosoft Power Apps - 1 yearLocation
Availability
Preferred Environment
Azure SQL, Databricks, Azure Data Factory, Python 3, Data Warehousing, Apache Airflow, Tableau Desktop Pro, Amazon Web Services (AWS), Spark, Microsoft Power Apps
The most amazing...
...thing I've implemented was an operation data lake to ingest real-time data from Open Data Hub APIs related to different transport modes.
Work Experience
Senior Data Engineer
Data-Driven AI
- Developed Azure durable entity functions to ingest data from Open Data Hub APIs in case of changes in the response header. The action saved 8GB of storage space every day and reduced costs significantly.
- Built an app in Microsoft Power Apps to fetch the resource usage costs and cost optimization recommendations from Azure subscription. The app helped users monitor resources and reduce costs.
- Created a self-service API and Microsoft power app for business users to securely download historical GTFS data on-demand from a data lake without manual intervention. The action saved 40 hours of manual effort every month.
- Built data pipelines using Azure Databricks (Pyspark) to process the ingested data into the Delta lake and the Synapse data warehouse.
- Created streaming data pipelines using Databricks to ingest data from Event Hub and Cosmos DB.
Data Engineer
NBN Co
- Developed automated ETL data pipelines using Spark on AWS EMR and Lambda to process the data, such as orders and services, from Comptel 7 and Maximo into an AWS S3 data lake.
- Created event-based Lambda functions using Python to trigger the Glue crawlers and metadata tagging.
- Developed data pipelines to transform order data from the UDS KPI model into business-friendly views that can easily be used for data analysis and reporting.
Data Analyst
MetLife
- Created Alteryx workflows to extract data from multiple source systems and prepare the data for regulatory submission.
- Prepared the data for regulatory reporting (including APRA, ASIC, and LCCC) and generated reconciliation dashboards.
- Designed and developed Tableau functional dashboards based on business requirements.
Data Engineer
ING Group
- Implemented Common Reporting Standard (CRS) workflows to generate customer and account extracts.
- Developed an ETL framework using Informatica workflow, Windows PowerShell, and SQL to automate the batch scheduling process for the data warehouse.
- Created the data model for the personal loans and credit card products to load the transactional data.
Senior Analyst
Bank of America
- Implemented an Informatica ETL COE operations reporting solution to help managers generate reports on platform usage, the number of sessions executed, and the volume of data processed.
- Automated the process of monthly metrics reports for application support and platform maintenance teams, using Excel VBA and Microsoft SQL Server, which saved a lot of manual effort.
- Completed the process of upgrading all the Informatica ETL COE platforms to v10.2 by automating the process with Jenkins and shell scripting.
ETL Developer
Cognizant
- Developed automatic data reconciliation workflows to compare the data with control files received from the source system.
- Created Autosys workflows to set up job dependencies and schedules.
- Created stored procedures using Oracle PL/SQL to perform the data validation.
Experience
Operational Data Lake for Transport
Web Scraping
https://www.teamrankings.comMonitoring Application for Azure Cloud
Skills
Languages
Python 3, SQL, Python, T-SQL (Transact-SQL), C#
Frameworks
Windows PowerShell, Spark, Azure Bot Framework, AWS EMR
Libraries/APIs
Pandas, PySpark, Azure Cognitive Services, Beautiful Soup
Tools
Azure Logic Apps, Informatica ETL, Tableau Desktop Pro, Tableau, Microsoft Power Apps, Autosys, Azure Automation, Apache Airflow, Azure Machine Learning, Microsoft Power BI
Paradigms
ETL, Dimensional Modeling, Azure DevOps, DevOps, Business Intelligence (BI)
Platforms
Databricks, Azure, Oracle, Azure Functions, Alteryx, Azure IaaS, Azure PaaS, AWS Lambda, Amazon Web Services (AWS)
Storage
Azure SQL, Data Pipelines, Data Lakes, SQL Server Integration Services (SSIS), Redshift, Amazon S3 (AWS S3)
Other
Azure Data Factory, Data Warehousing, Azure Data Lake Analytics, Software Development, Data Warehouse Design, Shell Scripting, Data Engineering, Data Architecture, Data Cleansing, Azure Synapse, Microsoft Power Automate, Web Scraping, Dashboards, Dashboard Design, Data Modeling, Microsoft Data Transformation Services (now SSIS), Data Analysis, Data Visualization, Cloud Security, Cloud Services, Data Analytics, Regulatory Reporting, Internet of Things (IoT), Excel 365
Education
Bachelor's Degree in Computer Science
Jawaharlal Technological Universilty - Hyderabad, India
Certifications
Azure AI Fundamentals
Microsoft
Azure Data Engineer Associate
Microsoft
Azure Fundamentals
Microsoft
Tableau Desktop Certified Associate
Tableau