Kiran Kumar Kolla
Verified Expert in Engineering
Database Engineer and Developer
Sydney, New South Wales, Australia
Toptal member since July 28, 2021
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
- Python 3 - 4 years
- Databricks - 4 years
- Azure Synapse Analytics - 3 years
- Azure DevOps - 2 years
- Azure Functions - 2 years
- Azure SQL - 2 years
- Azure Data Factory (ADF) - 2 years
- Microsoft Power Apps - 1 year
Availability
Preferred Environment
Databricks, Azure Data Factory (ADF), Python 3, Apache Airflow, Amazon Web Services (AWS), Spark, Microsoft Power Apps, Microsoft Power BI, Machine Learning, Azure
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
Hollard Insurance
- Implemented data ingestion framework for the Hollard data platform as part of the Finance Data Transformation project.
- Built data pipelines to ingest the policy, claims, and finance data from partners into the data lake using Azure Data Factory and Databricks.
- Created DevOps pipelines to automatically promote the code for Data Factory, Databricks, and SQL database to higher environments.
- Developed Power BI dashboards to track data ingestion issues from multiple partners and designed domain-specific error flag reports (policy, claims, collections) to identify root causes of variances between expected and actual values.
Senior Data Engineer (via Toptal)
B.S.D. Capital, Inc. dba Lendistry
- Automated the process of combining the events related to loan applications into a single table using Python, dbt, and Airflow, which simplified the reporting process and saved much manual effort.
- Moved all the complex SQL logic into dbt workflows and created Airflow DAGs on top. Created reusable macros in dbt (test cases, functions) to dynamically generate the models.
- Migrated several existing KNIME workflows into Python scripts to automate the process of Excel report generation as per business requirements and trigger automated emails.
- Automated the approval process of adding items to SharePoint lists (a data dictionary) using Power Automate, which sends notifications to Teams groups for review/approval.
Senior Data Consultant
Arq Group
- Provided solution design for various enterprise data capabilities using Azure Cloud Services and batch and stream processing architecture.
- Created Databricks streaming job to ingest the data from Cosmos DB using change feed and push the data to Salesforce APIs in real time.
- Coordinated with business analysts, data modelers, developers, and enterprise architects and proposed the end-to-end architecture that meets the requirements and enterprise standards.
DevOps Engineer
AB-InBev - Israel
- Created the automated release pipelines for Azure SQL SB of each environment.
- Maintained and supported the Azure infrastructure for SQL databases, Data factory, etc.
- Automated the process of Azure Data Factory deployment for different teams across environments through Azure DevOps.
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 resource usage costs and cost optimization recommendations from an 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. This 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 Hubs and Cosmos DB.
- Created a Microsoft PowerApps application to enable business users to download historical vehicle incident data by category and timeframe.
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
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
Skills
Libraries/APIs
Pandas, PySpark, Azure Cognitive Services, Beautiful Soup, Salesforce REST API
Tools
Azure Logic Apps, Informatica ETL, Tableau Desktop Pro, Tableau, Microsoft Power Apps, Apache Airflow, Autosys, Microsoft Power BI, Power BI Desktop, Azure Automation, Azure Machine Learning, Amazon Elastic MapReduce (EMR), GitHub, Bitbucket
Languages
Python 3, SQL, Python, T-SQL (Transact-SQL), C#, Scala, Java
Frameworks
Windows PowerShell, Spark, Azure Bot Framework
Paradigms
ETL, Dimensional Modeling, Azure DevOps, DevOps, Business Intelligence (BI)
Platforms
Databricks, Azure, Oracle, Azure Synapse, Microsoft Power Automate, Azure Functions, Alteryx, AWS Lambda, Amazon Web Services (AWS), Power Automate Cloud Flow, Azure Synapse Analytics, Azure IaaS, Azure PaaS, KNIME, Azure Event Hubs, Microsoft Fabric
Storage
Azure SQL, Amazon S3 (AWS S3), Data Pipelines, Azure Cloud Services, Microsoft SQL Server, Data Lakes, SQL Server Integration Services (SSIS), Azure Cosmos DB, Redshift, RDBMS
Other
Azure Data Factory (ADF), Data Warehousing, Azure Data Lake Analytics, Software Development, Data Warehouse Design, Shell Scripting, Data Engineering, Data Architecture, Data Cleansing, Amazon Managed Workflows for Apache Airflow (MWAA), ETL Tools, Web Scraping, Dashboards, Dashboard Design, Data Modeling, Microsoft Data Transformation Services (now SSIS), Data Analysis, Data Visualization, Data Build Tool (dbt), Lambda Functions, Streaming Data, Cloud Security, Cloud Services, Data Analytics, Regulatory Reporting, Internet of Things (IoT), Excel 365, Data Processing, Amazon Redshift, Azure Databricks, Azure Data Lake, Delta Lake, Amazon API Gateway, Machine Learning
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