Technical skills
My self-assumed proficiency for various programming languages and frameworks, as well as certifications achieved. Expand to see more about specific frameworks and libraries in my skill stack
Languages/Frameworks
Big Data
AWS Services
ETL - Glue, Athena, MWAA, Data Pipeline, Lake Formation, DataBrew, Redshift, Kinesis, DynamoDB and RDS
Deployment & CI/CID - Lambda, Step Functions, Batch, EventBridge, CloudFormation (& Terraform)
ML - Amazon SageMaker, Amazon Bedrock, DL AMIs
AWS cloud stack (general) - learnt through hands-on practice and studying for AWS Solution Architect certification.
Frameworks, SDKs and more
Apache Spark/PySpark, Hive, Hadoop, Trino/Presto
Apache Airflow, Apache Flink, Apache Kafka
AWS CLI, Boto3, Bash scripting and Docker
Visualization
Amazon QuickSight, Power BI
Tableau, Grafana
Python
Machine Learning
PyTorch
Tensorflow
Keras
SciKit-learn
MXNet
Dev
Django
Flask
Additional Libraries
Pandas
Matplotlib
OpenCV
NumPy
Seaborn
Gym
Java
Frameworks
Android Studio
Spring/Spring Boot/Spring Batch
C/C++
Parallel computation
OpenMP
CUDA
MPI
Graphics
OpenGL
HTML / CSS / Javascript
Node.js
JS libraries
Bootstrap
JQuery
Frameworks
React
AngularJS
Graphics
Three.js
Matlab
C#
Frameworks
ASP.NET
Xamarin
MySQL
Certifications
Achieved the following certifications:
AWS Certified Machine Learning – Specialty | This certification serves to endorse expertise in building, training, tuning, validating and deploying machine learning (ML) models on AWS.
AWS Certified Solutions Architect – Associate | This certification showcases experience related to the design of cost and performance optimized solutions across AWS.
Currently studying towards AWS Solutions Architect – Professional, Data Engineering – Associate and DataBricks DE certifications.