- Could you introduce yourself and tell us about you? Your current / recent jobs and employers? Previous companies and jobs?
He has 6 years of experience in the fintech industry. He holds a Computer Science degree from XXXX University and He started as a data analyst at XXXX, supporting fund sales reporting, moved to XXXX as a data analyst for risk and reporting across equities, bonds, and futures, and is now a Business Intelligence Analyst for trading data at XXXX, a payments and trading platform , he works daily with SQL, Python, and ClickHouse. In his current role, he built the ClickHouse analytics layer for about 800 million rows of trade and payment event data and delivers real-time dashboards in Grafana and business reports in Power BI for about 20 users across trading, risk, and operations.
- What skill(s) / experience would you self-describe as strongest or specialist in?
His strongest skill would be advanced SQL and OLAP work in ClickHouse, turning large volumes of trade and transaction data into fast, reliable analysis. He also automates reporting and data quality checks in Python and Airflow, and he understands the financial instruments behind the data, so he can explain results to traders and risk teams. He cut dashboard query time from about 25 seconds to about 3 seconds by redesigning ClickHouse tables with partitioning and materialized views. He manages about 30 Airflow DAGs with a 95% on-time rate, and cut month-end reporting at his previous firm from 4 days to 2 days through Python automation.
