Proficient in Python, from building ETL pipelines, grabbing market/trade data from exchagnes, processing risk/PnL booking system to web development with FastAPI

Used Pandas extensively for data manipulation utilizing vectorised operations, cleaning and analysis of large datasets. Familiar with time series data and financial data analysis.

Used Linux/Bash widely for basic scripting as DevOps engineer providing L2 Support for Fixed Income Credit Trading Desk

Used as OLAP. Manage over 300TB of data with Devops engineer. Use simple SQL from day to day queries to complex queries on Grafana for visualization and analysis.

Used as OLTP database to store unstructured data, and to store trade and market data for low latency retrieval.

For CICD deployment of microservices and ETL pipelines. Familiar with creating declarative pipelines as code using Jenkinsfile

Led project to decommision On-prem Solaris servers and migrated to Linux with the use of docker containerization for batch reporting and to host UAT environments

Sinks realtime data from kafka to clickhouse for low latency retrieval of market and trade data. Used kafka both as message queue and streaming platform

Used Kubernetes/ArgoCD gitops in distributed computing to host Spark, YARN for heavy computation of training machine learning models

Created meaningful dashboards and focus on creating actionable alerts instead of noise. reducing time to detect and response to incidents