Eugene Klimov is a data analyst and junior full-stack SQL developer with over one year of experience designing, administering, and optimizing SQL databases and data warehouses. He has an MCSA certification in SQL Server 2012/2014 and experience developing ETL processes and reports using SQL Server Integration Services, Analysis Services, and Reporting Services. Klimov is skilled at learning new technologies and presenting complex topics simply.

1. EUGENE KLIMOV
Data Analyst | Junior Full-Stack SQL Developer
eugeneklimov89@gmail.com; (226) 378-7741
SUMMARY
• Currently-certified (MCSA) knowledge with more than one year of work experience in designing,
administering, and performance-tuning of relational SQL databases and data warehouses for the
purpose of data analysis and reports. Deep understanding of design and development throughout the
full-stack of SQL Server: SSIS, SSAS, SSRS.
• Engaging and contributing team supporter, enthusiast of constant technological innovation. Problem
solver, efficient multi-tasker, and published technical writer.
• Experienced leader and lecturer; particularly adept at learning and summarizing new skills, then
presenting complex themes and ideas in the most direct, simple, and universally-understood way.
CERTIFICATIONS
MCSA - Microsoft Certified Solutions Associate: SQL Server 2012/2014
• Exam 70-463 Implementing a Data Warehouse with Microsoft SQL Server 2014 June 2015
• Exam 70-462 Administering Microsoft SQL Server 2014 Databases Mar 2015
• Exam 70-461 Querying Microsoft SQL Server 2014 Dec 2014
EXPERIENCE
SQL / ETL Developer, Return on Intelligence Inc. May 2014 – July 2015
• Implemented complete sets of scripts to automate data reconciliation between a relational data
source and OLAP cube. Optimized complex SQL and MDX queries. Completed unit testing.
• Developed fully-automated, incremental ETL / SSIS solutions using package and project
deployment models. Configured SSIS execution environments. Developed DDL scripts for SQL
objects automation. Developed dynamic, parameterized reports with data-driven subscriptions
using SSRS and Excel.
• Wrote technical documentation, deployment procedures, and user manuals.
Skills used: SQL Server 2012, SSIS, SQL, MDX, SSMS, SSDT.
Graduate Teaching Assistant, University of Western Ontario May 2013 – Aug 2014
Research Assistant, Agriculture Canada of Southwestern Ontario May 2012 – Aug 2013
Research Assistant, Agriculture Canada of Southwestern Ontario Sept 2012 – Mar 2013
Publication: Subramoni S, Nathoo N, Klimov E, Yuan ZC. (2014) Review. Agrobacterium
tumefaciens responds to plant-derived signaling molecules. Frontiers of Plant Science, 5:322.
Research Assistant, Dept. of Molecular Genetics, University of Toronto April 2012 – Aug 2012
Research Assistant, Terrence Donnelly Centre, University of Toronto May 2011 – Aug 2011
Research Assistant, Dept. of Biochemistry, University of Toronto May 2010 – Aug 2010
Mathematics and Chemistry Tutor May 2009 – May 2010
The Stethoscope Journal writer, University of Toronto Sept 2009 – May 2012
EDUCATION
University of Western Ontario Sept 2013 – Aug 2014
• 1-year thesis in Developmental Biology studying cancer cell progression, with one publication.

2. University of Toronto Sept 2007 – May 2012
• Honours BSc – Biology Specialist with minor in Bioinformatics (queried online databases,
programmed in Perl, used PivotTables and other features of Excel, and the Significance Analysis
of Microarrays (SAM) Excel add-in.
TECHNICAL ABILITIES AND SKILLS BY THEME/TASK
* The following is my pragmatic set of skills I am comfortable working with, applied and tested hands-on
either from previous employment or from completed learning modules.
 Conceptual Understanding of Relational Database and DW Structure
• Understand the purpose of atomicity and of the 3rd
normal form required in structuring
OLTP/transactional/operational databases, for storage-efficiency and update-uniformity.
• Thorough understanding of de-normalization of dimensions required for the creation of
Kimball’s Enterprise Data Warehouse and data structure optimization for the purpose of
querying for building reports and analytical models (multidimensional and tabular).
 Practical Database Management and Maintenance with Microsoft SQL Server 2014
• Adept at optimizing SQL query performance through writing efficient search arguments and
maintaining table indexes and statistics. Familiar with troubleshooting Windows and SQL
Server security credentials and proxies for automating SQL Agent Jobs for maintenance of
database backups, table indexes and statistics. Familiar with general setup of SQL Server
high-availability groups and Windows Server failover clusters, as well as aware of Storage
Area Network (SAN) configuration via iSCSI protocol for more effective data availability
and recovery and the physical abstraction of data services on servers from data storage on a
SAN.
• Comfortable with development of fully-automated, incrementally-loading Integration
Services (SSIS) or Extract-Transform-Load (ETL) solutions through the project and package
deployment models for populating the Data Warehouse from any format or platform of
transactional data.
• Comfortable with writing code in Visual Basic for Applications or C# to develop custom
script tasks and components in SSIS to parse and extract data from non-standard flat file
formats.
 Data Analysis and Custom Report Building with Subscription Management
• SQL Server 2012 Analysis and Reporting Services:
o Comfortable with building multidimensional and tabular data models or cubes,
developing custom drill-down hierarchies, calculations, and aggregations.
o Adept at building and optimizing performance of dynamic, filter- or query-
parameterized, custom reports and dashboards with drill-through access from one
report to others from a variety of data sources with SQL Server Reporting Services.
Able to implement data-driven subscriptions/delivery of online reports.
• Microsoft Excel:
o Self-service and ad-hoc Business Intelligence data modelling and reporting with
various features and add-ins of MS Excel:
 Comfortable with tabular data model design and construction with
PowerPivot. Able to build dynamic parameterized reports and dashboards
with Power View, Pivot Charts, and Pivot Tables.
o Comfortable with developing custom automations in Excel using macros and Visual
Basic for Application.

3. • Tableau Desktop Software: all of the above capabilities, data model modifications, and
dynamic custom report building that includes map and time-lapse animations.