Julia Gasanova

Julia Gasanova | Bridging Business, Data & Technology

For over 15 years, I have been solving real-life problems and turning complex business challenges into robust, maintainable, and scalable technical solutions by combining product-oriented thinking, business analysis, deep data expertise, hands-on software engineering, and technology leadership.

My experience covers the full lifecycle of digital solutions - from business process analysis and requirements discovery to solution design, implementation, and long-term maintenance and evolution. I have worked with a wide range of technologies, delivering solutions that operate reliably and drive measurable business results, even under tight deadlines and significant technical constraints.

I leverage my unique combination of expertise to help organisations with automation and modernisation initiatives, legacy system replacement, the development of data and integration solutions, and the adoption of new technologies, including AI-powered solutions. My work is driven by a commitment to people, collaboration, and the continuous evolution of ideas.

Services

Business Analysis & Product Management

Identify business needs, uncover opportunities for improvement and automation, define product strategy and modernisation roadmaps, and manage requirements for technical solutions.

Digital Transformation & Modernisation

Analyse legacy systems, identify business and technology gaps, and define practical transformation roadmaps that balance business value, risk, and technical constraints.

Solution Architecture & Technology Strategy

Select suitable technologies, design solution architectures from scratch, modernise existing architectures, and support strategic technology decisions.

Data Strategy, Engineering & Analytics

Define data strategies, design data architectures, pipelines, and integration solutions. Analyse data and develop reports of any complexity to support data-driven decision-making.

New Technology Adoption

Identify opportunities to adopt new technologies, define implementation roadmaps, and assess, design, and integrate solutions. Measure outcomes to ensure business value.

Technology Leadership & Delivery

Bridge business and technical teams, align stakeholders, and lead initiatives from idea to implementation. Guide delivery, provide strategic direction, and mentor teams.

Areas of Expertise

Leadership & Cross-Functional Skills:
  • Strategic planning and roadmap definition
  • Project planning and delivery management
  • Stakeholder communication and management
  • Cross-functional collaboration
  • Agile and Waterfall methodologies
  • Prioritisation and backlog management
  • Team leadership, mentoring, and knowledge sharing
  • End-to-end delivery ownership
  • Change management and organisational transformation
  • Decision-making under uncertainty
Business Analysis:
  • Requirements elicitation, analysis, and management
  • Business process analysis and optimisation
  • Workflow and system interaction modelling
  • Functional specifications, use cases, and feature definitions
  • Impact analysis and solution evaluation
  • Workshop facilitation and stakeholder alignment
  • Requirements traceability across the SDLC
  • Technical documentation and communication
Artificial Intelligence & Machine Learning:
  • Neural network development and training
  • AI-assisted software development
  • Chatbot and AI agent design and implementation
  • Prompt engineering and optimisation
  • AI solution evaluation and adoption
  • AI integration and business process automation
Data Architecture & Engineering:
  • Data architecture and modelling
  • SQL and NoSQL databases
  • ETL/ELT design and optimisation
  • Data pipeline development and orchestration
  • Data warehousing and data lake solutions
  • Data integration across systems
  • Data quality and governance
  • Query optimisation and performance tuning
  • Data workflow monitoring and troubleshooting
Data Analysis & Data Science:
  • Data collection, preparation, and validation
  • Exploratory data analysis and descriptive statistics
  • Pattern, trend, and anomaly detection
  • Statistical analysis and hypothesis testing
  • Forecasting and predictive modelling
  • KPI definition and performance measurement
  • Business and operational reporting
  • Ad-hoc analytical investigations
Software Architecture:
  • System and software architecture design
  • Technology evaluation and selection
  • Domain-Driven Design (DDD)
  • Distributed and microservices architectures
  • Event-driven and asynchronous systems
  • API-first and integration architectures
  • Cloud-native and serverless solutions
  • Scalability, availability, and fault-tolerance design
Software Engineering:
  • Full software development lifecycle (SDLC)
  • Object-oriented, functional, and modular design principles
  • Data structures and algorithms
  • Debugging, troubleshooting, and root-cause analysis
  • Performance optimisation and technical debt reduction
  • Legacy system modernisation
  • Web application development
  • API and integration development
  • Automated testing practices
  • CI/CD and deployment automation
  • Production support and issue resolution
Technologies & Tools:
  • Cloud technologies: AWS, Azure
  • Programming languages: JavaScript, C#, Java, Python, PHP, Delphi, C++
  • Web technologies: ASP.NET, Oracle APEX, HTML, CSS, Bootstrap, Angular, jQuery
  • APIs: SOAP, REST, RESTful, GraphQL
  • Databases: Oracle, MySQL, MS SQL Server, PostgreSQL, MongoDB, DynamoDB; SQL, PL/SQL
  • Data Processing & Distributed Systems: Apache Kafka, Apache Spark, Databricks, Hadoop, Amazon Kinesis, AWS Glue
  • ETL/ELT & Orchestration: dbt, Oracle Data Integrator (ODI), Apache Airflow
  • Data Warehousing & Storage: Snowflake, Amazon S3, Amazon Athena, Amazon Redshift
  • BI & Reporting Tools: Oracle BI, Power BI, Tableau
  • Diagrams/architecture: ER, UML, Flowchart, BPMN diagrams
  • Version control: Git, SVN
  • CI/CD pipelines: Jenkins, GitHub Actions
  • Project management: JIRA, Confluence, Redmine, DevOps
  • Operating systems: Windows, Linux

Career Path

2011 - 2017

I started my career as a software engineer at Ukrtelecom, one of Ukraine’s largest telecommunications operators with millions of subscribers, building and supporting software for call centre operations and telephony systems.

I worked across 20+ production systems, including IVR solutions and call-centre operator platforms, covering call handling, processing, and internal workflows. My responsibilities included end-to-end delivery of call-centre hotline projects, from requirements analysis and solution design to production rollout, as well as building automation solutions for internal operations.

Beyond application development, I designed and implemented integration solutions and APIs for cross-system communication, along with data architectures, including data warehouses, ETL pipelines, and analytics platforms supporting large-scale reporting and dashboards. I also developed operational systems for real-time information display in call centre environments.

Another important part of my role involved leading initiatives to optimise processes, automate workflows, modernise and replace legacy systems, and implement new technologies to enhance efficiency, scalability, and overall operational performance.

Over six years, I progressed from junior engineer to Head of Department. In this role, I led a team through organisational restructuring, balancing hands-on technical delivery with team leadership, mentoring, capacity planning, stakeholder collaboration, and technical decision-making under tight constraints.

Key achievements include:

Automating internal call-centre processes, reducing manual effort by 75%+.

Designing a unified data solution improving data retrieval performance by 40%+, enabling IVR personalisation and reducing call handling time by ~20%.

Building an outbound calling system based on Asterisk framework, reducing infrastructure and software expansion costs by 80%+.

2017 - 2024

For more than seven years, I worked for a Medirent Information Technology, a company developing large-scale software systems for government and social institutions, contributing to e-government initiatives and mission-critical platforms for social benefit payments, including pension systems for the Pension Fund of Ukraine.

I was involved across the full lifecycle of high-load, mission-critical systems, including ongoing maintenance, production support, and implementation of major system enhancements. My work included building APIs and integration layers for data exchange between government services, internal systems, and banking platforms.

A significant part of my role focused on data architecture and analytics. I designed ETL processes, built and evolved data warehouses, implemented large-scale data processing solutions, and developed reporting and forecasting systems to support operational and strategic decision-making.

I was actively involved in modernizing and replacing legacy solutions, reducing technical debt, automating processes, and evaluating and introducing new technologies to improve the scalability, resilience, maintainability, and operational independence of complex systems.

I was frequently responsible for making critical technical decisions under tight deadlines, ensuring the safe delivery of complex system changes in production environments.

Key contributions include:

Leading migration of a high-load pension system from Oracle APEX to ASP.NET, preserving functionality while modernising the platform.

Designing data warehouse solutions that reduced report generation time by 50–70% and improved system stability under peak load.

Building a centralized integration platform that reduced manual operational effort by 30%+.

2024 - 2026

I contributed to the development of transport and logistics software for a large international supermarket chain in Central Europe, working on an integrated ecosystem of applications that connect internal systems with multiple external platforms.

My responsibilities included API development, ETL pipelines, data integration, reporting solutions, and front-end development for operational dashboards and user interfaces. I worked across both backend and frontend layers to ensure consistency between data flow, system architecture, and user experience. Additionally, I worked on replacing outdated solutions with more modern, user-friendly, and ecosystem-compatible alternatives.

Key achievements include:

Independently designing and implementing a solution that consolidated and replaced two legacy platforms, improving maintainability, reducing system complexity, and increasing operational efficiency.

Developing reporting solutions that improved process visibility and supported more effective operational decision-making.

2026 - present

I currently work as a business analyst with product ownership responsibilities for a large-scale international digital platform.

My role focuses on business process analysis, stakeholder collaboration, requirements management, and translating business needs into clear, actionable solutions. I work closely with business representatives, subject matter experts, designers, and development teams to define product direction, prioritize initiatives, and ensure successful delivery.

A significant part of my work involves shaping high-level business requirements, evaluating solution options, and balancing user needs, business objectives, and technical constraints.

Academic Background

I have a strong academic background in mathematics, supported by a Master’s degree in Applied Mathematics. My studies focused on mathematical modelling, statistics, optimisation, systems analysis, the analysis of complex systems, programming automation, and expert systems. My education allowed me to hone my analytical skills and problem-solving abilities, enabling me to identify patterns in business processes, data, and complex real-world problems.

Throughout my career, I have consistently applied these skills in practice, designing mathematical models, developing data-driven solutions, and translating complex concepts into effective software systems. This analytical approach continues to shape how I solve business and technology challenges today.

My master’s thesis focused on the development, training, and application of a neural network within a low-code system for the automatic generation of program code from graphical elements. This provided an early foundation in machine learning and neural network development, even before the recent rise of AI technologies. I continue to expand my expertise in artificial intelligence, exploring its practical applications in software engineering, business analysis, and data-driven decision-making.

Contact information

Location Bratislava, Slovakia

LinkedIn profile Contact me on LinkedIn

Email Email me at julia.gasanova.eu@gmail.com