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Deep understanding of the characteristics of users in various industries and have experience in integrating, implementing, and maintaining large-scale national projects. My experience spans multiple industries including aviation, government, finance, e-commerce, internet, big data, and GIS. I have led the bidding, demand analysis, architectural design, work arrangement, and delivery implementation of ultra-large projects [10 million to 1 billion] in areas like aviation backend, big data, machine learning, e-commerce platforms, and financial payments; the following work experience provides detailed descriptions.
Possess extensive knowledge in large enterprise development and management, having led over 70+ large technical teams. I have worked on projects handling up to 170 trillion data entries per day and have led and developed teams in PB-level big data and machine learning algorithms.
Participated in formulating corporate development strategies, business plans, and budget schemes, possessing a robust technical reserve and deep industry breadth and depth. I understand and master the trends of advanced technology and am looking for a company and position where I can fully utilize my abilities.
During my entrepreneurial period, I offered services including technical consultation,desktop application development, web development, and VR development. Industry depth includes: Big Data, AI (Artificial Intelligence), image recognition, embedded systems, IoT (Internet of Things), distributed high-concurrency architecture and development, backend game development, secondary development of GIS, full stack, and development styles like MVC, MVP, MVVM. Business systems include: financial systems, e-commerce systems, educational systems, medical systems, etc.
Experienced in optimizing and solving problems in various system aspects, such as JVM tuning, HTTP layer optimization, TCP/UDP layer optimization (OSI 7 layer tuning), H.264 optimization, machine learning algorithm optimization, Elasticsearch optimization, Linux optimization.
Technologies I have used include: Easy Language, C, C++, C#, Unity3D, Java, Python, Kotlin, Swift, EMAC6/7 Script, PHP, PLSQL, SQL (DLL, DML, DBA), NoSQL (Hypertable, MongoDB, HBase, Memcache, Redis, CouchDB, Cassandra), Pascal, .Net, R, Matlab, Lua, Scala, etc.
Common technologies I use: Microservices (Spring Cloud, Dubbo, Tars K8s), front-end and back-end separation, message queues, distributed caching, data warehouse, TensorFlow, PyTorch, Unity3D, Apache/Nginx/Lighttpd, Mycat, VueJs, React-Native, Uni-app, OpenCV, OpenGL, WebVR, Flutter, AntD, Matlab, QT, MFC, and so on.

Experienced Senior Data Engineer with over a decade of work in building reliable, secure, and scalable data environments on AWS, Azure, and GCP. Skilled in ETL/ELT development, data modeling, streaming, governance, and automation using modern cloud tools such as Snowflake, Databricks, and dbt. Known for practical problem solving, clear documentation, and collaboration across data science, analytics, and DevOps teams. Familiar with compliance frameworks including HIPAA, SOC 2, and FedRAMP. Focused on quality, maintainability, and data-driven decision making.

Overall, 5+ years of experience in Data Science and Big Data in the Business Industry with adept knowledge of Data Analytics, Machine Learning (ML), and Predictive Modeling. Machine Learning and Computer Vision expert with experience in image processing and analysis. Proven track record in developing and optimizing computer vision algorithms and ML models. Skilled in refining ML models to improve accuracy and collaborating with cross-functional teams to integrate AI/ML features into applications. Specialized in Text Analytics, developing Statistical Machine Learning and Data Mining solutions using R, Python, and Tableau. Proficient in Data Analytics, including Data Reporting, Ad-hoc Reporting, and OLAP reporting. Strong command over SQL, with experience in RDBMS (e.g., MySQL) and NoSQL databases (e.g., MongoDB). Skilled in using Spark MLlib utilities for machine learning tasks and various visualization tools like Tableau, SAS, QlikView, and Microsoft BI. Expertise in operations research techniques, mathematical programming, heuristic algorithms, and stochastic modeling. Hands-on experience in designing optimization models using Python and relevant packages such as PuLP, PYOMO, and CVXPY, with proficiency in CPLEX. Well-versed in TR components and NESS requirements into scalable analytical models, working with Hadoop ecosystem components, and designing captivating visualizations using Tableau. Knowledgeable in various machine learning algorithms and techniques, including Reinforcement Learning, LDA, Naive Bayes, Random Forests, Decision Trees, Linear and Logistic Regression, SVM, Clustering, and neural networks.

Driven Data Engineer with a proven track record at FedEx, where I spearheaded the migration of SQL databases to Azure, enhancing Spark performance and automating ETL workflows, resulting in a 50% reduction in manual effort. Expert in Python, Apache Airflow, and data governance, I excel in transforming data into actionable insights and secure, efficient data solutions.

George Chigrichenko

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Principal Backend Performance Engineer

Analytics Engineering Lead

Database Development Engineer

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SCJP, CCNA

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Principal Backend Performance Engineer

Analytics Engineering Lead

Database Development Engineer

SCJP, CCNA

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