Analyze, design and build Modern data solutions using Azure PaaS service to support visualization of data
Understand current Production state of application and determine the impact of new implementation on existing business processes
Data Ingestion to one or more Azure Services - (Azure Data Lake, Azure Storage, Azure SQL, Azure DW) and processing the data in Azure Databricks
Created Pipelines in ADF using Linked Services/Datasets/Pipeline/ to Extract, Transform and load data from different sources like Azure SQL, Blob storage, Azure SQL Data warehouse, write-back tool and backwards
Developed Spark applications using Pyspark and Spark-SQL for data extraction, transformation and aggregation from multiple file formats for analyzing & transforming the data to uncover insights into the customer usage patterns
Responsible for estimating the cluster size, monitoring and troubleshooting of the Spark Databricks cluster
Developed JSON Scripts for deploying the Pipeline in Azure Data Factory (ADF) that process the data using the SQL Activity
Integrated the source file storage in Azure Blobs and extracted data from Blobs to Snowflake
Extracted source data and mapped them into downstream systems and performed ETL transformation to connect PowerBI dashboard
Data DevOps Engineer
Tradition UK Ltd
02.2021 - 01.2024
Created pipelines in ADF using linked services/Datasets/Pipeline/ to Extract, Transform and Load data from different sources like Azure SQL, Blob storage, Azure SQL Data Warehouse
Experience in Spark applications using Scala and Spark SQL for Data Extraction, transformation, and aggregation from multiple formats for analyzing& transforming the data to uncover insights into the customer usage patterns
Involved in creating JSON scripts for deploying the pipeline in Azure Data Factory (ADF) that process the data using the SQL Activity
Undertake data analysis and collaborated with down-stream, analytics team to shape the data according to their requirement
Worked in technical standards, procedures, and guidelines used to govern data models as well as ETL development projects within
Platform Engineer
Tradition UK Ltd
11.2018 - 01.2021
Experience of building and delivering robust highly available solutions
Built and maintained data pipelines using AWS Glue, transforming raw data into structured formats for further analysis
Created pipelines in ADF using linked services/Datasets/Pipeline/ to Extract, Transform and Load data from different sources like Azure SQL, Blob storage, Azure SQL Data Warehouse
Multi system administration and Software configuration management, using various automation tools to oversee the end-to-end deployment process
Implemented a CI/CD/CT pipeline using Cloud Agnostic Tools like Jenkins, Docker and GitHub, SVN, Nexus, Maven and Security testing code quality coverage using SonarQube and HP Fortify (Security Testing)
Designed, developed and deployed applications on to several cloud-based solutions using configuration Management tools Ansible
Good Working knowledge of build scripts and automated solutions using various scripting languages like Groovy, Shell and Python
Wintel Engineer
Tradition UK Ltd
01.2015 - 11.2018
Experience of building and delivering robust highly available solutions
Running packaged applications on all operating systems like Windows 10 21H2, performing tasks and ensuring security and stability
Patch deployments to end user devices and keep the systems up to date
Monitor all devices and send report to Security team regarding vulnerabilities
App-V Consultant
British Telecommunications
03.2012 - 10.2014
Migrate legacy applications from XP, Vista, Windows 7 to BT's new Windows 8 desktop platform for delivery using SCCM 2012
Taking applications through the application phase using tools such as App-V 4.6 sp1- App-V 5.0, Wise, InstEdit & VB scripting for deployment via Radia, SCCM 2007 and SCCM 2012
Sequencing the applications using App-V 5.0 tool and customizing the applications as per client requirement
Senior Systems Executive
Cognizant Technology Solutions
10.2007 - 08.2010
Education
Bachelor of Engineering -
Acharya Institute of Technology
Bangalore
Skills
Data pipeline construction
PYTHON,
Azure Data Lake, ADF, Azure Databricks,SQL
Azure Blob Storage, JSON, CSV, Parquet
Amazon EC2, S3, Auto Scaling, Cloud Watch, Lambda, Glue