Position: Data Engineer
Category: Python
English level: fluent
Years of experience: 7

Motivate students towards AI/ML applications
Identified a security problem in the organization and come up with internal solution
Contributed to increased revenue for the company through showcasing the work
Certificate on AWS cloud practitioner
Wolfram verification for Cardano on chain data
Setting up dashboard with metrics and scheduling for postgres-bigquery comparison analysis
Data migration using dbt/trino
Develop example queries and graphs in Data Studio for bigquery
CI/CD workflows setup for Pull request( PR) alerts on slack channel
Apply test driven development (TDD) and refactor codes accordingly
Data quality check on tables in database
Provide knowledge base on entities relationships and dependencies
Optimize queries that tend to take up too much resource
Set up scheduled cron jobs in Pgadmin and Kubernetes
Apply monitoring and alerting for various metrics , databases, bigquery, pgcron in Prometheus and Grafana


Design and implement desirability ranking, performance ranking, status of saturation,number of blocks created, ROS(Return on stake) prediction of stake pools building customized ML model on AWS Sagemaker
Integrate customized model result from Sagemaker into AWS Quicksight for better visualization
Perform anomaly detection using amazon Quicksight
Identify address and fund distribution of byron and shelley for cardano blockchain
Classify UTxO ages based on addresses to distinguish the number of old ADA holders from new ones using db_sync data source
Carry out behavioral analysis of client's users with google analytics
Extract cryptocurrency data from CoinGecko, CryptoCompare and CoinMarketCap using mixed analytics
Study patterns and movements of exchange accounts and their liquidity
Perform on-chain analysis on the Cardano platform
Extract data from db_sync source
Differentiate pool owner's withdrawal activity from that of delegators
Categorize stake pools based on their delegation size
Identify public and private rewards on epoch basis
Evaluate new delegation activity
Settlement desk validation/testing -> shift from Redshift to RDS