BERT, AWS RDS, AWS Forecast, EMR Spark Cluster, Hive, Serverless, Google Assistant + Raspberry Pi, Infrared, Google Cloud Platform Natural Language, Anomaly detection, Tensorflow, Mathematics

Terraform module to create AWS EMR resources 🇺🇦

Run a Spark job within Amazon EMR

Shell scripts for AWS EMR clusters

EMR + Hadoop to Redshift ELT workflow using spark steps API and orchestrated by Apache-Airflow, which ingests disparate datasets focused around 7Gb of I94 arrivals information to produce a simple star schema in Redshift

Daily Incremental load ETL pipeline for Ecommerce company using AWS Lambda and AWS EMR cluster, Deployed using Apache airflow in a docker container.

ETL Data pipeline using aws services

Lambda to start EMR and run a map reduce job

Load data from the Million Song Dataset into a final dimensional model stored in S3.

Detect Tight Communities in a social Network

Performing various product review analysis on Amazon dataset using Apache Spark and MongoDB

Credit defaulting results in a large profit loss to banks and other credit lenders. The success of the banking industry results in the ability to understand risk. This project uses big data technologies like Mapreduce, HDFS along with PySpark and AWS for analysis of credit history and its prediction

Data Engineering Projects including Data Modeling, Data Warehouse, Data Lake Development

Analysis performed on data from the Steam platform using Apache Spark and Cloud services such as Amazon Web Services.

A Cloud based Reddit stock sentiment analyzer that analyzes overall sentiment from a configurable selection of stock subreddits for each stock. The architecture utilizes AWS MSK (Kafka), AWS EMR (PySpark) and AWS Lambda (Python 3) for maximum scalability and the OpenAI API for sentiment analysis through prompt engineering.

An opinionated framework for running big data jobs

Stand-alone Scala & Java tool to anonymize OOXML Documents (DOCX)

Data Pipeline Analytics Platform is an end-to-end generic Big Data pipeline. Involves following tech stack: AWS S3, AWS Redshift, AWS EMR Cluster, Apache Spark, Apache Airflow.

AWS EMR backed Spark cluster for analyzing Yelp Data