Big Data Stack

Distributed Computing Frameworks - Apache Spark , Apache HIVE , Map Reduce

AWS Big Data Services - EMR ,Athena, Data Pipeline, Redshift, Kinesis , Networking (VPC ) , CloudWatch , CloudTrail , Lambda ,S3 , IAM

DataWarehouse & MPP - Redshift , Presto on EMR

DataFormats - Parquet , Avro , JSON , CSV

ETL/ELT tools - AWS Data Pipeline, AWS Glue

HBase - Highly available and scalable but a pain to setup.

Full Stack Development

React - Love it

Flask - I believe its more conveniet to make micro services APIs with Flask while I personally find a tad bit difficult to work with django's batteries included philosophy.

Spring - Lately having my fair share of time working with Java Enterprise Solutions

Postgres - Probably the most user friendly database.

DynamoDb-I always advice customer to think of DDB as a partitioned B-tree data structure.If you can model your use case as such then DynamoDB is a viable choice for your needs.

Language

Java - For competitive Programming

Javascript - Getting myself better on this and learning new stuff !

Python - Who doesn't like 🐍

Bash - Either you love it or hate, guess which side I'm on

SQL - I love that there are no layers. It's just data and you

Tools & Certifications

AWS ASA - Certified Assosciate Solution Architect

VSCode - The best editor out there

HUE editor for HiveQL - Its not perfect but does a pretty decent job.

DBeaver - My favourite JDBC tool