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UDAY (RID : 15cyvln0f1287)

designation   DATA ENGINEER

location   Location : PUNE, India

experience   Experience : 2 Year

rate   Rate: $12 / Hourly

Availability   Availability : Immediate

Work From   Work From : Offsite

designation   Category : Information Technology & Services

Shortlisted : 0
Total Views : 73
Key Skills
Data Engineer Python Java SnowSQL AWS JIRA SNOWFLAKE ETL
Discription

UDAY


OBJECTIVE

Cloud  Data Engineer with 3+ years of Experience in Designing & building End-To-End Enterprise Grade Data Pipelines, Full-Scale SnowFlake Data Warehouse & AWS Lambda API Development in Python. Possessing  com- prehensive expertise in developing robust Modern Production Grade Data infrastructure.

 

EDUCATION

B.Tech Computer Science & Engineering, MIT-WPU,Pune   - CGPA:7.76                                                                            2018-2021


CERTIFICATIONS

Certifications                     [PCEP-30-02]– Certified Entry-Level Python Programmer, SnowFlake SnowPro Core,

Practical Machine Learning with Tensorflow

 


SKILLS

PROGRAMMING                        Python, SnowSQL, SQL, Java

DATABASES                                   Snowflake, AWS DynamoDB, Oracle, MS SQL

TOOLS                                             Apache Airflow, Autosys, boto3, Linux, Informatica

CLOUD                                            AWS Lambda, AWS Cloud Watch, AWS MWAA, AWS API Gateway, AWS S3, AWS Athena, AWS EC2, AWS EMR

CI-CD                                               Git, BitBucket, AWS Code Commit, AWS CodePipeline, AWS Code Build, AWS Cloud Formation, Jira, Confluence.

 


EXPERIENCE

Data  Engineer                                                                                                                                                                                   Dec 2021 - Present

Confidential 

  • Responsible for Designing, Development, Implementation, Testing, Delivery & Deployment of E2E ETL Data Pipeline consisting of Multiple Complex Data Set-driven Python - Airflow DAGs to ingest Data into Snowflake and Unload Data from Snowflake as well on an AWS MWAA environment. In turn, improving Data Ingestion Efficiency by 75%. compared to previously implemented On-Prem Informatica system.
  • Responsible for
 
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