SHOHRUKH BURKHONOV
Orlando,FL
Summary
As a Data Engineer with over 7 years of experience, I have enhanced system efficiency by 35% through expert design and implementation of data solutions in cloud and on-prem environments. I specialize in Python and Spark, boosting ETL speeds by 50% using SSIS, Azure Data Factory, Databricks, and Snowflake. Proficient in BI tools like Power BI and Tableau, I've improved data accessibility by 40%, achieving a 90% client satisfaction rate. Additionally, I am skilled in SSRS, Synapse, CI/CD practices, AWS technologies, and workflow automation with Airflow.
Overview
7
7
years of professional experience
Work History
Data Engineer
Protiviti
04.2021 - Current
- I facilitated a 30% improvement in alignment between business stakeholders and technical teams by conducting regular meetings to present technical designs and gather requirements, resulting in more accurate and actionable technical specifications
- I managed Agile development sprints effectively by organizing tasks and user stories, coordinating daily Scrum meetings, which increased project agility and team productivity by 25%
- I contributed to a 20% improvement in productivity and a 15% increase in output quality by promoting best practices in data engineering, including Agile and CI/CD methodologies, across the team
- I boosted data processing efficiency by 40% by utilizing Azure Databricks with Apache Spark and Python to analyze datasets, manage data pipelines, and process over 15 TB of data daily in a high-volume environment
- I enhanced data retrieval efficiency by 30% and supported faster decision-making processes by executing data modeling using Erwin Data Modeler and SQL within an Agile methodology, creating Star and Snowflake schemas for optimized database performance
- Streamlined ETL processes and improved data pipeline automation by 35% by implementing Apache Airflow for orchestrating complex workflows in AWS, utilizing services like S3, Redshift, and Lambda for efficient data extraction, transformation, and loading
- I cut deployment times by 22%, enhanced code quality, and streamlined data processing workflows by spearheading the design and implementation of CI/CD pipelines using Azure DevOps, Terraform, and GitHub, improving team collaboration and overall project efficiency
- I increased data processing speed by 45% and pipeline reliability by 40% by developing and optimizing Azure Data Factory v2 pipelines and managing data transformations with SQL and Azure Synapse Analytics
- I improved data analysis and reporting capabilities by developing complex DAX formulas and creating high-impact visual reports in Power BI and Tableau, enabling rapid business decisions and clear visualization of data trends
- Enhanced the performance, scalability, and data management of SQL databases on large analytics platforms by developing complex SQL queries, conducting SQL index analysis, and handling datasets exceeding multiple terabytes, resulting in a 50% improvement in scalability and a 40% reduction in query response times
- I enhanced data processing capabilities by 40% by establishing Data Centers on Azure Cloud, utilizing U-SQL and Azure Synapse within Azure Data Lake for efficient data management and processing
- I enhanced data throughput and operational efficiency by implementing and maintaining high-volume data processing pipelines using Kafka and PySpark, handling real-time data streams and batch processing
- I improved data processing and analytics capabilities by automating Snowflake queries using Python and developing data loading processes with Snow-SQL and Snow-pipe, ensuring secure and efficient data management
- Used C# for complex ETL logic and automation within SQL Server and Azure, enhancing data processing efficiency
- I enhanced operational efficiency and reduced costs by 20% by implementing automated workflows and trigger-based optimizations using Azure Logic Apps, Azure Functions, and C# within cloud environments
- I created advanced SQL Stored Procedures and views for ETL processes and Power BI reports, employing Azure DevOps GIT Hub and CI/CD for efficient version control and code deployment, which streamlined data processing workflows by 35%.
- Streamlined complex workflows by breaking them down into manageable components for easier implementation and maintenance.
BI Engineer
Tupperware Brands
06.2017 - 04.2021
- I streamlined data integration by constructing pipelines in Azure Data Factory (ADF V2), enabling seamless data transfer that reduced integration times by 30% and supported timely analytics
- I accelerated data processing times by 40% by developing Python scripts for file validations and automating ETL processes in Databricks, which enhanced data accuracy and operational efficiency across multiple business intelligence projects
- I optimized data storage and querying efficiency by migrating on-premises databases to Snowflake, resulting in a 50% reduction in data retrieval times and a 30% cost savings on data storage
- I improved batch data processing efficiency by utilizing Python API calls to parse data from S3 through Amazon API Gateway, which enhanced data processing speed by 25% and improved the accuracy of data analytics
- I facilitated advanced data analysis by designing structured data models using Python/Spark for Elastic Search and developing ETL pipelines, which increased data retrieval efficiency by 40% and enabled more sophisticated business decisions
- I optimized resource allocation by managing Serverless and Dedicated SQL pools, scaling resources according to project requirements, which reduced operational costs by 20% while maintaining system performance
- Developed a real-time data ingestion and processing system using Python and Kafka for high-throughput data streams
- I enhanced the reliability and efficiency of ETL processes by implementing and automating these processes using Azure Data Factory and SSIS integration runtime, which decreased data load times by 35% and improved overall data quality
- Designed and implemented complex analytics solutions using Power BI and Tableau; developed advanced DAX calculations and interactive dashboards that drove a 25% improvement in decision-making efficiency across business units
- Managed database performance tuning and optimization for Oracle and SQL Server environments, achieving a 30% increase in performance through effective indexing and query optimization techniques
- Led cross-functional teams in the development and deployment of data solutions, ensuring alignment with business goals and achieving a 20% improvement in project delivery timelines through agile methodologies
- Orchestrated a seamless migration of multi-terabyte databases from on-premises systems to Azure Data Lake, enhancing data availability and reliability while reducing legacy system operational costs by 20%
- Enhanced data security measures and ensured compliance with GDPR and CCPA regulations by implementing robust data governance frameworks and utilizing Azure Security Center for continuous monitoring and threat detection.
Education
Associate Degree -
IT College, Samarkand College of Information Technology
01.2016
Skills
- Azure Data Factory
- Synapse
- Data bricks
- SQL
- Snowflake
- Python
- AWS (Lambda, Glue, S3)
- GCP
- Airflow
- PySpark
- MySQL
- Oracle
- IBD DB2
- SSIS
- SSRS
- SSAS
- Power BI
- Tableau
- Agile Methodology
- DevOps
- ETL development
- Data Warehousing
- Data Modeling
- CICD
- PL/SQL
- Kusto Query Language
- PowerShell
- VBScript
- Shell
- DB2
- RDS
- HubSpot
Websites
Hobbies and Interests
- Self-learning
- Reading
- Traveling
- Fitness Training
Timeline
Data Engineer
Protiviti
04.2021 - Current
BI Engineer
Tupperware Brands
06.2017 - 04.2021
Associate Degree -
IT College, Samarkand College of Information Technology