Junior Big Data Engineer Resume King of Prussia, Pennsylvania - Hire IT People

TECHNICAL SKILLS:

Programming Languages: Java, Python, R, HTML, XML, Shell, C++, Spark, Scala, JavaScript

Database Systems: MySQL, MongoDB, MSSQL

Version Control: Subversion, CVS, Git

Cloud: AWS, Cloudera

Data Science: Machine Learning, TensorFlow, Pandas, NumPy, NLP, scikit - learn

Big Data: Hadoop, Hive, Pig, Linux, EMR

Container Platforms: Docker, Kubernetes

EXPERIENCE:

Junior Big Data Engineer

Confidential, King of Prussia, Pennsylvania

Responsibilities:

Provided weekly data insights on the politically exposed persons, sanction lists, and monitoring their activity to help prevent financial fraud and identify potential criminals in the financial industry using media articles as the source
Created and deployed data dashboards on docker to visualize the inquiries querying in SQL to retrieve data as per client inquiries providing daily reports using production data and experimental analysis using development data.
Performed Data Wrangling with MongoDB documents having more than 66 Million records to extract features that contained metadata including culture, foreign language name, geo-distance, and politically exposed persons
Investigated between open source Metabase and subscription based ZoomData to perform load tests and generated reports based on performance and integrated with the EMR (AWS) cluster.
Applied Logistic Regression after one hot encoding the extracted features matched with the query submitted by client to predict the alert generated manually by analysts in order to automate the analyst review system.

Skills: Python, Spark, Docker, Hive, MongoDB, Hadoop, Linux, AWS, Matplotlib, Scikit-learn, Node.js, Java

Big Data Intern

Confidential, Edison, New Jersey

Responsibilities:

Training included Hadoop, Linux, ELK Stack, Kubernetes, Docker, Cloudera, Machine Learning, TensorFlow, Elasticsearch, ELK stack, Web development and deployment, version control
Data extraction, cleaning and loading was performed on a routine basis by creating Sqoop jobs in Confidential and creating data pipelines to efficiently process the data.
Applied business intelligence skills for reporting, visualization and presentation of the data while performing ETL and monitoring changes using Elasticsearch, transformation using Logstash and data visualization using Kibana.

Skills: Elasticsearch, ELK, Python, Machine Learning, TensorFlow, Pandas, NumPy, Object Oriented Programming, NLP

Software Developer

Confidential

Responsibilities:

Successfully completed Certified Software Developer training by Confidential Limited Included Python, SQL, Software Engineering, C#, .NET, Performance Testing, Automated Testing, Selenium, Java, Data Structures and Algorithms, Cybersecurity and Computer Architecture.
Production support role included critical bug fixes, client meetings, working with business analysts, project managers and maintaining the integrity of the code while developing innovative solutions.

Skills: JavaScript, Java, SQL, Python, Operating Systems, Data Structures and Algorithms, Web Analytics