Marius Ionut Sandu

Management:

• Oversee end-to-end solution delivery for projects related to the gaming , sales, e-commerce, in-game purchases, and user activity.
• Manage annual budget allocation and ensure cost-effectiveness across assigned projects.
• Implement governance processes in delivery management and production, adhering to selected delivery models.
• Take responsibility over resources needed for delivery - assure sound skills and seniority staffing according to the delivery roadmap
• Build up delivery plan along with estimations on timeframes, quality and quantity of resources required to successfully deliver projects
• Coordinate cross-functional teams and stakeholders, ensuring effective communication and collaboration.
• Manage IT staff by recruiting, training, and coaching employees, and overseeing their performance appraisal.

Architecture and Development:

• Participate in cloud architecture meetings to contribute insights and discuss technology selection and infrastructure management for projects, utilizing platforms like AWS, Azure, and technologies like Snowflake and Databricks.
• Evaluate and select appropriate cloud services and deployment models to meet specific application requirements, performance goals, and budget constraints.
• Design and implement data architecture solutions that meet the organization's business requirements and support its strategic goals. Develop data models, schemas, and data dictionaries to facilitate data integration, governance, and documentation.
• Define cloud adoption strategies, including migration plans, hybrid cloud deployment models, and cloud governance frameworks.
• Collaborate with cross-functional teams, including developers, operations, and security, to implement DevOps practices and automate cloud deployment, management, and scaling processes.

• Architect and engineer ETL (Extract, Transform, Load) solutions using Talend, Snowflake and Python to ingest, transform, and load data efficiently and reliably.
• Create and document Data Lake / Warehouse architecture processes and procedures, including data ingestion, transformation, and storage, and maintain documentation .
• Implement monitoring mechanisms to track workflow execution and debug issues, ensuring smooth operation of data pipelines.
• Conduct data analysis using a variety of tools including Hive QL, Spark SQL, and Talend for data profiling and analysis, extracting valuable insights to drive decision-making.
• Define data structures and metadata specifications to ensure consistency, integrity, and usability of data across the organization.
• Collaborate with stakeholders to understand project requirements and business logic, and design scalable and robust architecture solutions that meet business objectives.
• Interpret business and technical documentation to derive development logic and translate requirements into actionable tasks.
• Manage code versioning using Git commands, ensuring traceability and accountability throughout the development lifecycle.

• Ensure project milestones and deliverables are achieved according to the defined timelines and quality standards, coordinating with the data engineering team to address any challenges or bottlenecks that may arise.
• Offer technical support ( SQL, Python, Informatica, Snowflake ) and maintain transparency on behalf of the data engineering team, assisting with design, development, analysis, and testing tasks as needed.
• Conduct technical reviews of development activities to ensure adherence to best practices, coding standards, and architectural guidelines.
• Define project scope and objectives from a technical perspective, aligning with business requirements and strategic
• Monitor project costs throughout the project lifecycle, tracking expenses and resource utilization to stay within budgetary constraints.
• Create and manage a detailed project schedule and work plan, outlining tasks, dependencies, and milestones to guide project execution and monitor progress.goals.

• Responsible for designing, building, and maintaining data solutions that meet the organization's data management and analytics needs.
• Lead the planning and execution of deliverables, overseeing activities related to architecture design, development, testing, and deployment.
• Providing technical assistance and guidance for members of the team and take responsibility for implications and impacts of design and development decisions.
• Oversee the planning, implementation and controlling of the deliverables with respect to quality, budget, delivery timelines;.
• Identify, manage and mitigate risks throughout the deliverables lifetime.
• Negotiate and influence stakeholders for reaching mutual understanding of project deliverables;.
• Ensuring appropriate management communication and customer involvement throughout the life of the project;.
• Evaluate new proposals from the client, establish the necessary resources, time and send the client the cost and timeline for approval.

• Design, develop, and implement ETL jobs and workflows using selected ETL tools (e.g., Informatica, SSMS, Talend Data Integration) to extract, transform, and load data from source to target systems.
• Design data models and schemas to support ETL processes, ensuring data consistency, integrity, and usability across the organization.
• Develop architectural designs and strategies for efficient and scalable ETL processes, considering factors such as data volume, velocity, and variety.
• Extract data from various source systems, including databases, files, APIs, ERPs, ensuring data integrity and completeness.
• Transform raw data into usable formats using transformations s following business rules and requirements.
• Document ETL job designs, configurations, and dependencies, maintaining clear and up-to-date documentation for reference and knowledge sharing.
• Work closely with business stakeholders, data engineers, and data analysts to understand ETL requirements and translate them into technical solutions.

• Project – BlackStone
• Design and implement reports in Cognos BI according to the business requirements.
• Build the layout for each report in SSRS: using lists, matrix, charts, dynamic columns, row and column groups, total rows, conditional rendering and formatting, data formatting.
• Create corresponding stored procedures.
• Project – Gilt.
• Design develop a new database, ETL process to store information about user’s that accesses the website from a mobile device.
• Develop SQL scripts to improve, optimize data stream.
• Coordinating with other team members and planning tasks.
• Identify and implement the changes to the DW to satisfy the new requirements.

• Create ETL flows to get data from source tables, transform it and insert into target tables.
• Verify the accuracy of data, calculations, and the content and format of reports and other deliverables;.
• Create reports (visual studio) and dashboards (Xcelsius).
• Troubleshoot and resolve processing issues or problems uncovered in data and reports, document root cause, and identify preventative measures.
• Participate in process management conference calls and on-site meetings with client, and provide additional support for client issues or questions when needed;.