AWS Data Pipeline Engineer Resume

TECHNICAL SKILLS

Project management & Team Motivation, Project Budgeting
Team leadership/Security Awareness.
AWS (EC2, EBS, S3, Redshift, IAM, AMI, ELB, SNS, Athena, Redshift Spectrum
NACL, Security Groups, Route53, VPC, VPC Peering, Auto Scaling, CloudWatch
AWS Glue, Development Endpoint, EMR, EMR Notebook, Kinesis, Lambda, CloudFormation
Apache Spark, Hive, Hue, Zeppelin notebook.
SQL, PLSQL, TSQL, HiveQL, SparkSQL, Pyspark, Python, RDS.
Prioritizing/Multi - Tasking
Data Warehousing, BI, SAP BO, OWB, OBIE, Tableau, Data Analysis
A Process Improvement, Automated/Manual Testing
Streamlining Efforts, Product Development

PROFESSIONAL EXPERIENCE

Confidential

AWS Data Pipeline Engineer

Responsibilities:

I took on the responsibility of automating the scorecard processes for delivery Associates
I created a data pipeline which ingest route data, mentor data and DA’s attendance by creating a glue workflow leveraging CloudWatch, lambda and SNS
Created an S3 datalake with fine grain access using lake formation which can also be queried using Athena and Redshift spectrum.
I used EMR for batch data ETL while leveraging spark, hive, presto, pig ganglia etc. on the Hadoop framework by submitting jobs using steps in the EMR cluster.
I Used amazon QuickSight data visualization and dashboard to get pictorial insight into driver’s driving behavior, which has helped the company to improve the safety of drivers by 30% and also helped drivers to earn bonuses.

AWS Data Analyst

Confidential

Responsibilities:

Involved in sorting and scanning packages at a consistent high pace which earned me a green vest.
Involved in picking routes and loading packages for last mile delivery.
Supported and assisted customers with their orders.
Inputs and processes orders received into the company computer system at an exceptional pace.
Researches and responds to questions concerning concerts and events.
Provides information about upcoming events, specials and concerts