Parag Pindoria

I'm a

About

Motivated, self-driven and dedicated individual with a keen interest in Data Engineering
Strong background in Data Software Engineering
Believer in positively changing technology to improve the world.
Experience in multiple programming languages such as Python
Enjoy solving problems as an individual and within a team.
My contributions to teamwork create a positive impact on projects I contribute to.

Years of data engineering experience

Years of cloud experience

Years of python experience

Certifications

As technologies rapidly evolve 🚀, I am always learning and experiencing these new technologies.
Here's a list I have used and experienced.

AWS

	Python
	Java

Built end to end pipelines to ingest data from internal and external data sources into databases
Developed AWS Lambda functions in Python to ingest data into Snowflake, triggered by events using S3, SNS and SQS
Implemented infrastructure as code using Terraform and CloudFormation to manage resources created on AWS
Set up continuous integration and delivery pipelines to automate deployment processes using GitHub, CircleCI and Jenkins
Deployed Streams, Tasks and JavaScript Stored Procedures in Snowflake to manage data flow within the Data Warehouse
Managed data pipeline workflows using Airflow DAGs
Regularly reviewed PRs for the team, providing suggestions to improve code quality and efficiency
Designed and implemented unit tests and integration tests for infrastructure and data pipelines
Contributed to capability projects owned by other teams to prioritise crucial bug fixes and create feature enhancements
Added monitoring to pipelines using SES, Slack and ServiceNow
Mentored and trained new starters on the technologies used within our team
Worked in an agile team, helped to lead ceremonies such as stand-ups, retrospectives and sprint planning sessions
Utilised personal development days to learn and play with new technologies that can be used within the team

Selected by Generation UK&I to join the AWS re/start programme
Completed a 12 week, full-time, classroom-based skills development and training programme on IT fundamentals, AWS Cloud and professional skills
Built IT fundamental skills, including working knowledge of Linux OS, writing scripts in Python and Shell
Learned how to apply core AWS services in the area of compute, storage and networking, including EC2, S3, IAM, VPC, Lambda, Cloud Formation, RDS and Route 53
Demonstrated strong verbal and written communication skills, including the ability to explain technical information and terminology to non-technical end users
Learned how to configure monitor and support the suite of core AWS services