Gunveer , AWS Data Engineer | Bench Resource on Contract | May 2024

Gunveer (RID : 210ulpi6v3xp)

AWS Data Engineer

Location : Noida

Experience : 8 Year

Rate: $16 / Hourly

Availability : Immediate

Work From : Offsite

Category : Information Technology & Services

Shortlisted : 1

Total Views : 53

Key Skills

AWS Data Engineer Lambda Python Lambda Functions SLA ETL

Discription

Professional Experience:

Project Name: Medtronic (July 2022 – September 2023)

Project Role: AWS Data Engineer.

Responsibilities:

Create and maintain ETL processes to extract, transform, and load data from various sources into target data stores, such as data lakes.
Collaborate with data architects and stakeholders to design scalable and cost-effective data processing architectures on AWS, considering factors like performance, security, and compliance.
Responsible for designing and building the ETL pipeline, ensuring data extraction from various sources, transformation, and loading into the target data warehouse.
Develops and maintains the actual ETL code, including scripts, workflows& data integration processes. This role requires skills in programming languages (e.g., Python) and ETL tools (e.g., AWS Glue, Apache Spark,DataPyspark.).
Monitors and maintains the ETL and DBT pipeline in production. Troubleshoots and resolves any issues that arise, and ensures the pipeline runs smoothly.
Document architecture, data pipelines, and processes
Create and manage data catalogs using AWS Glue's Data Catalog service to maintain metadata about datasets, tables, and partitions.
I also help them transform their IT infrastructure, operations & applications to make the most of the scalability, innovation and cost efficiency of the AWS.

Project Name: AstraZeneca (December 2021 – June 2022)

Project Role: AWS Python Engineer.

SERVERLESS ON AWS

Developed jobs with the help of lambdas and Step Function.

Developed Python code in lambda as per requirement.
Transferring the file/object from one bucket to another bucket.
Loading the data into oracle table with the help of lambda.
Testing the code in dev/ppd before moving to prod/QA environment

Worked with AWS Lambda Functions in python to automate many tasks of AWS.

Some of them are:

Automate the jobs as per schedule with the help of Step Functions (SF) and Event Bridge
Automated the creation of alarms and notifying them to specified distribution groups using AWS SNS Notifications.
Detection and Auto-remediation of un-intended permissions in Bucket and Object ACLs.

Processing the Big amount of data in a columnar storage and performing the data analytics on that.

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