弗拉基米尔•Senatorov,俄罗斯莫斯科的开发者
Vladimir is available for hire
Hire Vladimir

弗拉基米尔•Senatorov

Verified Expert  in Engineering

数据工程师和软件开发人员

Location
Moscow, Russia
至今成员总数
October 26, 2021

Vladimir has been developing database solutions for 20+ years in developer, architect, 以及团队领导角色. He has specialized in data integration and transformation for data warehouses, BI systems, 处理采矿系统, 使用SQL和ETL工具. Over the years, Vladimir has proven his ability to use non-trivial approaches to effectively solve challenging data processing problems.

Portfolio

RAMAX国际
Celonis, Apache气流,数据集成,数据仓库,Jenkins...
Azrieli电子商务有限公司.
t - sql (transact - sql), SQL, 商业智能(BI), Azure云服务...
Tern Group
Oracle, PL/SQL, Microsoft SQL Server, t - sql (transact - sql)...

Experience

Availability

Full-time

首选的环境

PostgreSQL, Celonis, SQL, Azure数据工厂, Azure SQL数据库, Microsoft SQL Server, Oracle, Python, Apache Airflow, Microsoft Power BI

The most amazing...

...我设计和开发的系统是一个bi报告工具, combining a relational OLAP approach with the full-text search capabilities of MS SQL Server.

Work Experience

高级数据工程师,流程挖掘

2019 - PRESENT
RAMAX国际
  • Designed and developed data integrations from production systems to data warehouses for process-mining solutions for three projects. The integrations were built using Pentaho 数据集成 (PDI) and Apache Airflow.
  • Developed SQL transformations of digital footprints of processes into more than seven process-mining data models. 优化SQL转换的性能.
  • Administered the Celonis server, Apache Airflow, Jenkins, and PostgreSQL.
技术:Celonis, Apache气流,数据集成,数据仓库,Jenkins, PostgreSQL, Oracle, Linux, Pentaho数据集成(Kettle), Microsoft SQL Server, Data Modeling, ETL, 工程数据, Data Pipelines, SQL, Cloud, Process Mining, Data Analytics, Data Analysis, Python, 商业智能(BI), 数据库管理, Database Design, Analytics, JSON, REST APIs, Databases, Microsoft Excel, 性能调优, 查询组成, 查询优化, Back-end, 技术写作, 技术作家, Data, Data Migration, 数据构建工具(dbt), 系统管理, SQL Server DBA, ETL Tools, Data Management, PL/SQL Tuning, Oracle PL/SQL, Unix Shell脚本, ELT, Excel 365, Data Structures, 数据库开发, 数据架构, Dashboards, 解决方案架构, Azure SQL数据仓库, 专用SQL池(以前称为SQL DW), 存储过程, 数据库体系结构, NoSQL, Dynamic SQL, OLTP, OLAP, SQL存储过程, Optimization, ETL Development, ETL实施 & Design, ETL Testing, BI Reporting, 主数据管理(MDM), Java, Data Feeds, Data Extraction, Warehouses, 业务需求, GitHub, 仪表盘的设计, Pipelines

Data Engineer

2022 - 2023
Azrieli电子商务有限公司.
  • Developed Azure数据工厂 (ADF) pipelines for integration of various data sources—Sylius (retail sales), Mirakl(批发采购), AirTable (BI系统的数据输入), 客户(与客户聊天), 加上一些遗留系统.
  • Set up several processes for consuming REST API paginated outputs from various endpoints using ADF. 为接收到的REST API JSON数据设置一些数据解析过程.
  • Developed SQL Server back-end data structures and stored procedures to work with ADF pipelines. Created SQL Server stored procedures for regular copying data between DWH areas and updating the slowly changing dimensions (type 2).
技术:T-SQL (transaction - sql), SQL, 商业智能(BI), Azure云服务, Microsoft SQL Server, Azure数据工厂, 微软Azure云服务器, ETL, eCommerce, Sylius, Akeneo, Metabase, Mirakl, Airtable, Kustomer, REST APIs, Asana, 技术写作, JSON, Azure SQL数据库, 数据集成, 数据仓库, Databases, 工程数据, 性能调优, 查询组成, 查询优化, Snowflake, Back-end, 技术作家, Azure, Data, Data Migration, 数据库管理(DBA), ETL Tools, Data Management, ELT, Python, Excel 365, Data Structures, 数据库开发, 数据架构, Dashboards, 解决方案架构, 技术架构, Azure SQL数据仓库, 专用SQL池(以前称为SQL DW), 存储过程, 数据库体系结构, NoSQL, Dynamic SQL, OLTP, OLAP, SQL存储过程, APIs, Optimization, ETL Development, ETL实施 & Design, ETL Testing, BI Reporting, Azure SQL, Data Feeds, Data Extraction, Azure Databricks, Warehouses, Cloud, 业务需求, GitHub, 仪表盘的设计, C#, Pipelines, English

高级顾问

2017 - 2019
Tern Group
  • Developed, 作为团队的一员, 一个基于MS sql的医药数据分析数据仓库, 包括零售额, wholesales, 医疗代表推广数据, and more.
  • Developed, 作为团队的一员, a PL/SQL-based, 用于通过基于web的前端检索信息的后端API.
  • Developed XML-data integrations and transformations using SAP BODS and Oracle.
技术:甲骨文, PL/SQL, Microsoft SQL Server, t - sql (transact - sql), SAP业务对象数据服务(BODS), SAP业务对象(BO), SQL Server集成服务(SSIS), SQL, ETL, Data Modeling, 工程数据, Data Pipelines, 维度建模, 关系数据库, Data Analytics, 商业智能(BI), 数据库管理, SQL Server 2016, 数据仓库设计, APIs, Database Design, Asana, REST APIs, 数据集成, 数据仓库, Databases, Excel VBA, Microsoft Excel, Pivot Tables, 性能调优, 查询组成, 查询优化, Back-end, 技术写作, Data Migration, 数据库管理(DBA), ETL Tools, Data Management, PL/SQL Tuning, Oracle PL/SQL, Unix Shell脚本, ELT, Excel 365, Data Structures, 数据库开发, Dashboards, 技术架构, 存储过程, 数据库体系结构, NoSQL, Dynamic SQL, Data Governance, OLTP, OLAP, SQL存储过程, DAX, Optimization, ETL Development, ETL实施 & Design, ETL Testing, BI Reporting, 主数据管理(MDM), Java, Data Feeds, Data Extraction, Warehouses, .NET, Cloud, 业务需求, 仪表盘的设计, C#, 非结构化数据分析, Pipelines

架构师、开发人员

2014 - 2017
Self-employed
  • 开发了一个集成XML文件的系统. The system provided daily conversion of thousands of files (dozens of XSD schemas) into a single analytical data mart.
  • Designed a reporting engine that produced analytical output from structured-relational data and full-text indexes of unstructured files in office formats.
  • Developed a "semaphore" system that coordinates various tasks such as FTP download, unzipping, 上传至数据库, 数据转换, 下载http文件进行全文索引, 数据更新管道中的分析数据集市更新.
技术:Microsoft SQL Server, t - sql (transact - sql), SQL Server DBA, SQL, ETL, Data Modeling, Data Pipelines, 工程数据, 维度建模, 关系数据库, Data Analytics, Data Analysis, 商业智能(BI), 数据库管理, 数据仓库设计, Database Design, Visual Basic for Applications (VBA), Analytics, 数据集成, 数据仓库, Databases, Excel VBA, Microsoft Excel, Pivot Tables, 性能调优, 查询组成, 查询优化, 技术写作, Microsoft Power BI, SQL Server集成服务(SSIS), Data, Data Migration, 数据库管理(DBA), 系统管理, ETL Tools, Data Management, ELT, Microsoft Access, Excel 365, Data Structures, 数据库开发, SSRS Reports, Dashboards, SQL Server报表服务(SSRS), 解决方案架构, 技术架构, 存储过程, 数据库体系结构, NoSQL, Dynamic SQL, Data Governance, OLTP, OLAP, SQL存储过程, DAX, Optimization, ETL Development, ETL实施 & Design, ETL Testing, BI Reporting, 主数据管理(MDM), Data Feeds, Data Extraction, Leadership, Warehouses, .NET, Visual Basic, 业务需求, 非结构化数据分析, Pipelines, English

团队领导、架构师、开发人员

2000 - 2013
Remedium Group
  • Designed a set of analytical tools for clients to study pharmaceutical audit data and create their reports. The tools (several versions) were universal ROLAP-type report generators based on the MS SQL data engine.
  • Developed a management-accounting system for the holding company (15+ legal entities), 包括通过MS Access表格输入数据, MS SQL作为数据存储, and MS Excel as a reporting engine connected to the database via pivot tables.
  • Designed a data-processing pipeline for drug audits (retail and hospital), 包括数据收集, data integration, MDM并将源数据桥接到主字典, 统计外推法, 以及向客户交付审计数据.
  • 制定并监督执行一项长期的, 收购后与IMS Health (iqvia)的SLA.com), covering terms, conditions, and benchmarks of the outsourcing services provided to IMS by the employer (the Remedium Group).
技术:Microsoft SQL Server, t - sql (transact - sql), SQL Server集成服务(SSIS), Excel Expert, Microsoft Access, Power Pivot, SQL Server分析服务(SSAS), Excel VBA, Data Modeling, Data Pipelines, ETL, 工程数据, SQL, Data Analytics, 数据可视化, Data Analysis, 数据架构, 商业智能(BI), 数据库管理, 技术写作, Database Design, Visual Basic for Applications (VBA), 数据集成, 数据仓库, Databases, Microsoft Excel, Pivot Tables, 性能调优, 查询组成, 查询优化, Microsoft Power BI, 技术作家, Data, Data Migration, 系统管理, Data Management, ELT, Excel 365, Data Structures, 数据库开发, SSRS Reports, Dashboards, SQL Server报表服务(SSRS), 解决方案架构, 技术架构, 存储过程, 数据库体系结构, NoSQL, Dynamic SQL, Data Governance, OLTP, OLAP, SQL存储过程, Optimization, ETL Development, ETL实施 & Design, ETL Testing, Data Feeds, Data Extraction, Leadership, Warehouses, Visual Basic, Visual Basic 6 (VB6), 业务需求, Tableau, 仪表盘的设计, Pipelines, English

控股公司管理会计制度

The main goal of creating the system was to obtain consolidated reporting on the holding company's projects implemented through various legal entities.

The financial analyst of the holding was performing data entry by companies with a breakdown by projects, periods, 以及归属于成本和利润中心的费用项目.

The user interface for the data entry was developed using MS Access forms.

系统的后端是一个MS SQL数据库.

Reporting was developed using MS Excel connected to the database via the pivot-tables mechanism.

XLM数据集成框架

The unified process of XML data integration consists of the following steps:
1. Loading the contents of XML files of various schemas into a single database table.
2. 将XML模式的XSD文件解析为表格格式.
3. Using table (2) information to create templates for mapping source data elements to the target database structure.
4. Applying templates (3) to loaded data (1) to automatically transform source XML files data into the target relational data structure.

The implemented system made it possible to set up the daily integration of open public procurement data (zakupki.gov.ru),每天由数十个模式的数千个XML文件组成.

ITSM流程挖掘解决方案

The process mining (Celonis) data model was generated from digital footprints from the Axios assyst ITSM automation system.

解决方案包括:
1. 构建本地过程挖掘数据仓库(PostgreSQL), updated hourly from production assyst system (MS SQL) using incremental sync. 该同步是使用Pentaho DI开发的.
2. Applying transformations of source data into the process mining data model. The model contained all types of high-level ITSM tasks (incidents and change requests) and "child" tasks and decision tasks for each instance. 转换是使用pgSQL开发的. The model included many additional attributes and measures obtained from the source data and calculated on the fly.
3. Setting up regular (hourly) updates of the Celonis data model using Jenkins.

Languages

t - sql (transact - sql), SQL, Excel VBA, Python, Visual Basic for Applications (VBA), 存储过程, Visual Basic, XML, Snowflake, Visual Basic 6 (VB6), C#, Java

Libraries/APIs

REST APIs

Tools

Microsoft Access, Microsoft Excel, Microsoft Power BI, Power Pivot, Apache Airflow, Jenkins, GitHub, Pentaho数据集成(Kettle), Akeneo, Asana, Tableau

Paradigms

ETL, 维度建模, 商业智能(BI), Database Design, 数据库开发, OLAP, ETL实施 & Design

Platforms

Oracle, Azure, Azure SQL数据仓库, 专用SQL池(以前称为SQL DW), Linux, Databricks

Storage

PL/SQL, PostgreSQL, SQL Server集成服务(SSIS), Microsoft SQL Server, 数据集成, Databases, SQL Server DBA, Data Pipelines, 关系数据库, 数据库管理, SQL Server 2016, Azure SQL数据库, JSON, 数据库管理(DBA), Oracle PL/SQL, 数据库体系结构, Dynamic SQL, OLTP, SQL存储过程, 主数据管理(MDM), SQL Server分析服务(SSAS), Azure云服务, SQL Server报表服务(SSRS), NoSQL, Azure SQL

Other

Celonis, Excel Expert, 数据仓库, Pivot Tables, 工程数据, Data Modeling, Cloud, Process Mining, Data Analytics, Data Analysis, 数据架构, 数据仓库设计, 技术作家, 技术写作, APIs, Analytics, Azure数据工厂, 性能调优, 查询组成, 查询优化, Back-end, Data, Data Migration, ETL Tools, Data Management, PL/SQL Tuning, ELT, Excel 365, Data Structures, Dashboards, 解决方案架构, 技术架构, Data Governance, Optimization, ETL Development, ETL Testing, BI Reporting, Data Feeds, Data Extraction, Leadership, Warehouses, 业务需求, 仪表盘的设计, 非结构化数据分析, Pipelines, SAP业务对象数据服务(BODS), Mathematics, Statistics, Programming, System Design, SAP业务对象(BO), 数据可视化, 微软Azure云服务器, Airtable, 数据构建工具(dbt), 系统管理, SSRS Reports, DAX, English, eCommerce, Metabase, Mirakl, Kustomer, Unix Shell脚本, Azure Databricks

Frameworks

Sylius, .NET

1987 - 1992

信息学与应用数学硕士学位

Institute of Cryptography, Telecommunications and Computer Science - Moscow, Russia

2021年5月- 2022年5月

Celonis实施专业

Celonis Academy

2020年3月至2021年3月

Celonis数据工程师

Celonis Academy

2019年2月至今

SAP Certified Application Associate - 数据集成 with SAP Data Services 4.2

SAP SE

有效的合作

如何使用Toptal

Toptal matches you directly with global industry experts from our network in hours—not weeks or months.

1

分享你的需求

Discuss your requirements and refine your scope in a call with a Toptal domain expert.
2

选择你的才能

Get a short list of expertly matched talent within 24 hours to review, interview, and choose from.
3

开始你的无风险人才试验

与你选择的人才一起工作,试用最多两周. 只有当你决定雇佣他们时才付钱.

对顶尖人才的需求很大.

Start hiring
" class="hidden">今日▪天下通