Zukhriddin Zayniddinov
Pacifica,California
Summary
Senior Data Engineer with over 7 years of experience in designing, developing, and managing data solutions using a wide range of technologies including SQL, SSMS, SSIS, Azure, and OLTP systems. Expertise in building and optimizing ETL pipelines, ensuring data quality, and leveraging cloud platforms to enhance data processing capabilities. Proven ability to transform complex data sets into actionable insights and support data-driven decision-making. Adept at collaborating with cross-functional teams, mentoring junior engineers, and implementing scalable data architectures that drive business growth. Skilled in data warehousing, real-time data processing, and performance tuning across diverse data environments.
Overview
8
8
years of professional experience
Work History
Senior Software Engineer
Zest Business Consulting
San Francisco, CA
07.2023 - Current
- ETL Development: Designed and implemented ETL pipelines using SSIS and Apache NiFi for integrating diverse data sources into centralized data warehouses.
- Cloud Data Solutions: Architected scalable data solutions on Azure using services like Azure Data Factory and Azure Synapse Analytics.
- Performance Optimization: Improved SQL query performance in SQL Server (SSMS) to enhance data retrieval efficiency.
- Data Quality Management: Established automated data validation processes to ensure data accuracy and reliability.
- Real-Time Data Processing: Implemented real-time data processing frameworks with Apache Kafka for timely decision-making.
- Client Collaboration: Partnered with clients to deliver tailored data solutions aligned with business objectives.
- Mentorship: Provided mentorship to junior data engineers and contributed to team development.
- Cross-Functional Coordination: Collaborated with business analysts, data scientists, and project managers to integrate data solutions seamlessly with client workflows.
Data Engineer
Blatteis Realty
San Francisco, CA
08.2020 - 07.2023
- Sales Data Management: Assisted in the development and maintenance of ETL pipelines using SSIS to integrate sales data from CRM systems into SQL Server databases.
- Data Analysis and Reporting: Created and maintained dashboards and reports in Tableau to track sales performance, trends, and KPIs.
- Data Quality Assurance: Conducted data profiling and validation to ensure the accuracy and consistency of sales data across multiple sources.
- Support and Troubleshooting: Provided technical support for data-related issues, ensuring smooth operation of sales data workflows and resolving data discrepancies.
- Process Improvement: Participated in the optimization of ETL processes to enhance data processing efficiency and reduce data latency.
Data Analyst
Shimmick Construction
Oakla, CA
01.2018 - 07.2020
- Construction Data Pipelines: Developed and managed ETL processes using Python and Apache Airflow to consolidate project data from various sources into a centralized data lake on AWS.
- Real-Time Analytics: Implemented real-time data processing with Apache Kafka to monitor construction project progress and resource usage.
- Data Modeling: Designed data models to support project management dashboards and reporting tools, improving visibility into project status and performance.
- Cloud Solutions: Leveraged AWS Redshift and S3 for scalable data storage and analytics, facilitating large-scale data analysis for project planning and management.
- Stakeholder Collaboration: Worked closely with project managers and engineers to understand data needs and deliver actionable insights for decision-making.
Junior Software Engineer
Nexgen Medical Systems
San Fran, CA
10.2016 - 01.2018
- Healthcare Data Integration: Designed and implemented ETL pipelines using SSIS and Apache NiFi to integrate patient data from various healthcare systems into a centralized Azure-based data warehouse.
- Compliance and Security: Ensured data processes complied with HIPAA regulations, implementing data encryption and access controls to protect patient information.
- Performance Optimization: Optimized SQL Server (SSMS) queries to improve the performance of clinical data reporting and analytics.
- Data Quality Management: Developed automated data quality checks and monitoring tools to ensure accuracy and reliability of patient records.
- Cross-Functional Collaboration: Collaborated with healthcare professionals and data scientists to develop predictive models for patient outcomes and resource allocation.
Education
Bachelor of Science - Information Technology
Westminster International University in Tashkent
Tashkent, UZ06-2021
Skills
- Programming Languages: Python, SQL, Java
- Database Management: SQL Server (SSMS), MySQL, PostgreSQL, MongoDB
- ETL Tools: SSIS, Apache NiFi, Airflow
- Data Technologies: Apache Spark, Hadoop, Kafka
- Cloud Platforms: AWS (Redshift, S3), GCP (BigQuery), Azure (Synapse, Data Factory)
- DevOps: Docker, Kubernetes, Jenkins, Git
- Data Visualization: Tableau, Power BI
- Methodologies: Agile, Data Governance, Performance Tuning
Timeline
Senior Software Engineer
Zest Business Consulting
07.2023 - Current
Data Engineer
Blatteis Realty
08.2020 - 07.2023
Data Analyst
Shimmick Construction
01.2018 - 07.2020
Junior Software Engineer
Nexgen Medical Systems
10.2016 - 01.2018
Bachelor of Science - Information Technology
Westminster International University in Tashkent
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