Vaibhav K. Profile

5,0

(2 comentarios)

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$25 USD / hora

gurgaon,

india

$25 USD / hora

Aquí son las 2:19 a. m.

Se unió el diciembre 11, 2014

1 Recomendación

Vaibhav K.

@kmickey34

5,0

(2 comentarios)

4,0

100%

$25 USD / hora

gurgaon,

india

$25 USD / hora

100 %

Trabajos finalizados

100 %

Dentro del presupuesto

100 %

A tiempo

67 %

Tasa de recontratación

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 más

Closed User

@JHHICU

•

hace 4 años

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

•

hace 5 años

Experiencia

Kuliza

ago 2017 - sept 2019 (2 años, 1 mes)

● 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 años, 4 meses)

● 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