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Data Engineering Consultant
Data Engineer at OneMarketData, optimizing Airflow pipelines by 40% across client environments.
ArmeniaData Engineering Consultant at NRGaming
Architected and maintain 150+ Apache Airflow DAGs orchestrating high-throughput ETL/ELT pipelines syncing transactional PostgreSQL and MySQL systems into ClickHouse. Designed high-volume ClickHouse ingestion layer sustaining 4,500+ DB requests per minute, optimizing schema definitions, primary keys, and partitioning schemes to significantly reduce analytical query latency.
AirflowClickhouseETLELTPostgreSQLMySQLData IngestionSchema DesignPerformance OptimizationMonitoringAlerting
Lead end-to-end installation, configuration, and integration of enterprise financial data products across 22 active client production environments, onboarding 6 enterprise accounts. Administer and optimize client Apache Airflow clusters, improving average pipeline runtime by approximately 40% across workloads processing 30M+ rows daily.
AirflowETLData IntegrationRoot Cause AnalysisPerformance OptimizationClient Management
Authored SQL jobs and PySpark transformations to convert raw event streams into optimized datasets for business analytics on a 150M+ user platform. Led statistical analysis of mobile and web A/B tests, delivering data-driven insights to cross-functional leadership to guide activation and retention strategy.
SQLPySparkA B TestingStatistical AnalysisData ModelingETL
Profiled and optimized critical T-SQL and PL/pgSQL queries, reducing execution time from 6 minutes to 20 seconds (18x speedup) on heavy operational reporting workloads. Administered PostgreSQL and SQL Server databases, implementing differential and incremental backup strategies that cut backup window duration by approximately 40% while ensuring RTO/RPO compliance.
T SQLPL PgSQLPostgreSQLSQL ServerDatabase AdministrationBackup StrategiesSecurity HardeningRBACMonitoringMachine LearningObject Detection
Developed and backtested algorithmic trading strategies using machine learning models (LSTM, ensemble methods) and technical indicators on large cryptocurrency datasets. Applied Optuna for automated hyperparameter optimization and feature engineering, significantly enhancing strategy execution efficiency and model predictive accuracy.
Machine LearningLSTMEnsemble MethodsOptunaPythonTensorFlowscikit learndata preprocessingFeature Engineering
Pursuing a Master of Science in Industrial Engineering and Systems Management with a focus on systems modeling, data-driven optimization, and operations research.
Completed a Bachelor of Science in Data Science with coursework in distributed systems, database management, algorithms, statistics, and machine learning.
Completed the Data Scientist with Python Track, comprising 23 courses.
Completed the Data Analyst with Python Track, comprising 9 courses.
Completed the Deep Learning Fundamentals certification.
Completed the Intermediate Machine Learning certification.
Profile sourced from Himalayas.