Vaibhav K. Profile

5.0

(2 reviews)

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$25 USD / hour

gurgaon,

india

$25 USD / hour

It's currently 3:56 AM here

Joined December 11, 2014

1 Recommendation

Vaibhav K.

@kmickey34

5.0

(2 reviews)

4.0

100%

$25 USD / hour

gurgaon,

india

$25 USD / hour

100%

Jobs Completed

100%

On Budget

100%

On Time

67%

Repeat Hire Rate

Senior Data Engineer

●I have more than 5 years of experience in ETL,Python,AWS and having experience in the healthcare industry ●Developed a data processing framework(ETL),data warehouse in python integrated with AWS and redshift which can process millions of events in real time ●Scripting and application development experience in Python, Shell Scripts ,Data structures and Algorithms,OOPS ● Work experience on Database tools- Redshifts, MySql , Elasticsearch ● Hands on experience with big data ecosystem-Pig, Hadoop, Hive, Spark, AWS S3, EC2 ,Lambda, Athena, SQS, DataPipeline

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5.0

$360.00 AUD

Project for Vaibhav K.

Professional in approach towards and execution of the project.

+1 more

Closed User

@JHHICU

•

4 years ago

5.0

$65.00 USD

I am looking for Python expert

He is expert in Python. Delivers quality work on a reasonable schedule! I will work with him again. High recommended.

Python

JSON

Google Cloud Platform

Closed User

@finest2019

•

5 years ago

Experience

Kuliza

Aug 2017 - Sep 2019 (2 years, 1 month)

● Build a data lake for a manufacturing client with the sales and promotion activity data across different geographies to better judge the price, discounts and other costs of the product ● Experience in designing and developing applications in Spark using python and integrating it with various AWS cloud services like Lambda, SQS, Boto3,Athena, Data pipelines, EMR, EC2 ● Working on implementing ETL using HQLs on the data loaded in landing using pyspark in AWS

Limetray

Mar 2015 - Jul 2017 (2 years, 4 months)

● Developed a data processing framework(ETL),data warehouse in python integrated with AWS and redshift ● Built real-time data processing pipelines that will collect and organise millions of events per day ● Built an automated workflow execution engine for creating custom created pipelines