I’m looking for a remote role where I can leverage my experience in data engineering, BI, SQL, ETL, data warehousing and analytics to solve meaningful business problems. I want to keep growing into cloud, Python, advanced analytics, AI and GenAI while working with a collaborative, technically strong team.

Alam Espinosa Nin
@alamespinosanin
Data Engineer | Data Analyst experienced in managing the full data lifecycle, from data engineering and modeling to visualization and reporting.
What I'm looking for
I’m a Data Engineer and Data Analyst based in the Dominican Republic, with several years of hands-on experience building, maintaining, and improving data platforms and business intelligence solutions.
My core experience is in SQL Server, SSIS, SSAS, Power BI, SAP, and enterprise data warehousing. I work extensively with ETL, data integration, dimensional modeling, reporting, data quality, performance optimization, and production troubleshooting. I work with data from enterprise systems such as SAP, transforming and integrating it through SQL Server and SSIS into data warehouses and analytical models consumed through Power BI.
I’ve worked with large data volumes and complex BI environments, including data warehouse tables with hundreds of millions of rows, substantial SSIS workloads, SQL Server Agent scheduling, SSISDB execution management, and SSAS Tabular models. I’m comfortable troubleshooting across the entire data pipeline, from source data and transformation logic to SQL performance, infrastructure, permissions, connectivity, and the analytical layer.
A significant part of my work involves SQL development and optimization. I regularly work with complex queries, stored procedures, joins, transformations, incremental loading processes, and data warehouse procedures. I also have practical experience with SQL Server administration, including logins, users, permissions, SQL Agent jobs, database storage, resource management, and production troubleshooting.
On the BI side, I develop and support SSAS Tabular and Power BI solutions, including semantic models, measures, live connections, row-level security, performance optimization, administration, and automated report distribution. I’ve also worked with APIs and external tools to automate BI workflows.
While my strongest professional background is in the Microsoft data stack, I’m actively expanding into modern data engineering, advanced analytics, and AI. I’m developing my skills in Python, Pandas, APIs, data ingestion, machine learning, PostgreSQL, BigQuery, Google Cloud, Generative AI, RAG, embeddings, AI agents, and workflow automation. I’m particularly interested in technologies such as Supabase, Fabric, ClickHouse, LangChain, LangGraph, and n8n.
I enjoy solving complex data problems and finding ways to make systems more reliable, scalable, automated, and useful. I’m especially interested in projects where data engineering, analytics, automation, and AI overlap.
I’m currently looking for remote part-time opportunities, freelance or project-based contracts, consulting work, and flexible ongoing engagements. I’m open to roles such as Data Engineer, Data Analyst, BI Developer, SQL Developer, ETL Developer, or projects involving data automation and analytics. I’m comfortable working independently, learning unfamiliar technologies, and taking ownership of solutions from data extraction through to the final analytical result.
Experience
Work history, roles, and key accomplishments
Data Engineer
Laboratorios LAM
Dec 2024 - Present (1 year 9 months)
Data Engineer with experience managing enterprise data platforms processing 300M+ records across 50+ tables. Designed and maintained 100+ SSIS/ETL workflows integrating SAP and multiple data sources. Built SQL Server/SSAS/Power BI solutions with 1,000+ measures, supporting business reporting, analytics, data quality, and governance.
Delivered data analytics and engineering solutions across consulting and project-based engagements. Built dashboards and analytical models using SQL Server, BigQuery, Power BI, Tableau, Excel, and R. Transformed raw data from multiple sources into actionable insights, improving reporting, data validation, and decision-making for business stakeholders.
Analyzed financial and operational data to support reporting, BI, and management decisions. Developed dashboards and reporting solutions in Power BI and Excel, validated data transformations across financial systems, and supported regulatory, accounting, and financial reporting. Collaborated with IT and senior leadership on data, systems, and AI initiatives.
Database Administrator
ISFODOSU
Jan 2022 - Oct 2023 (1 year 9 months)
Administered institutional databases supporting core information systems. Designed, configured, and maintained databases; implemented automated backup and recovery processes; developed complex SQL queries; and created database models, diagrams, and data dictionaries to improve data organization, reliability, and maintainability.
Education
Degrees, certifications, and relevant coursework
Universidad Internacional de La Rioja
Masters Degree, Artificial Intelligence
2025 - 2027
Activities and societies: AI & Data Science Projects, Machine Learning, Generative AI, Applied AI
Currently pursuing a Master’s Degree in Artificial Intelligence, focusing mainly on:
Artificial Intelligence Foundations
Machine Learning
Deep Learning
Data Science & Analytics
Natural Language Processing (NLP)
Computer Vision
Generative AI
AI Systems & Applications
Ethics & Responsible AI
Practical AI Projects
Universidad Dominicana O&M
Systems Engineer, Ingeniería informática
2010 - 2022
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Social media
Job categories
Skills
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