Vikas S.

Vikas S.

Data Engineer

New Delhi , India

Experience: 4 Years

Vikas

New Delhi , India

Data Engineer

11520 USD / Year

  • Start Date / Notice Period end date: 2020-12-31

4 Years

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About Me

·     Data Engineer with a master’s in Data-Management & Data Mining and having 3.6 years of overall working             experience in Cloud Application           Development, Implementing Data-Ser...

·     Extensively worked using cloud platform Amazon Web Services and Google Cloud Platform along with wide and in depth understanding of most of           the Data Management services.

·     Carry out ETL operation, consuming   batch and real-time data from various data sources and loading into data stores using python data pipeline on           AWS and GCP.

·     Empirical experience in handling High-Data-Flow Streaming, Storage and Data Processing using integrated framework like Kafka, Hadoop / Spark,             SparkSql and Standalone system Oracle 18c, AWS Redshift.

·     Operational experience in various Data Management task such as Data Migration, Data ware-housing and OLAP (Oracle), Talend.

·     Involved team member in building machine learning models for solving financial / bank related problems like Cross-selling, upselling, Customer        Segmentation and Quartile Analysis for process improvement.

·     Experience in data visualization and business intelligence using TABLEAU and KNIME.

 

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Skills

Portfolio Projects

aca atlanta

Designing data-flow architecture ingesting data from various DB’s .

Company

aca atlanta

Role

Software Architect

Contribute

• Automated creation of data proc cluster for data processing. • Writing data pipeline for consuming the data from source. • Transforming and Filtering the data as per requirements. • Loading the data

Description

This project involves designing an architecture for establishing data flow from client multitenant databases (oracle 18c) to stage on Google Data Store for OLAP on BigQuery.

·        Automated creation of data proc cluster for data processing.

·        Writing data pipeline for consuming the data from source.

·        Transforming and Filtering the data as per requirements.

·        Loading the data in Datawarehouse.

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aqu intelligent water quality monitoring system

machine learning, cloud base architecture

Company

aqu intelligent water quality monitoring system

Role

Mobile Developer

Contribute

Established ETL, Data streaming using Amazon services like- Amazon Lambda (NodeJs , JAVA), Aurora, kinesis, S3, Redshift, DynamoDB.

Description

AQU is real time sense cloud-based solution facilitates water quality measurement right at the pond. It provides an array of parameter to let you know present and future water quality of pond.

Responsibility-.

·        Established ETL, Data streaming using Amazon services like- Amazon Lambda (NodeJs , JAVA), Aurora, kinesis, S3, Redshift, DynamoDB.

·        Building Predictive Model for Predicting derived water quality parameters vetted against historical data using Python Scikit,Neural network and Regression. 

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Tools

Eclipse