Alexsander Siqueira
@alexsandersiqueira
Senior data engineer and architect specializing in data platform migrations and data/AI blueprints.
What I'm looking for
I’m a Senior Data Engineer & Architect with 10+ years designing and delivering enterprise data and AI solutions for international teams across telecom, healthcare, real estate, life sciences, and digital marketing.
Right now, I advise organizations through short-term engagements—assessing current-state architecture and data maturity, designing future-proof data & AI blueprints aligned to business goals and regulatory context, and building the technical foundations alongside client teams.
I bring deep hands-on expertise across modern cloud stacks (GCP, AWS, Databricks, DBT, Airflow) and CI/CD practices, and I’ve led data engineering teams while driving end-to-end migrations from on-premises to cloud. I embed best practices in pipeline patterns, governance, data quality, observability, and AI-assisted development workflows so teams can independently extend and evolve platforms long after handover.
I’ve delivered scalable ETL for multi-source environments (processing 1M+ records daily), built near real-time monitoring dashboards to improve failure response and SLA health, and developed HIPAA-compliant analytics and interactive reporting ecosystems. I’ve also led an AWS-to-GCP data platform migration that re-engineered downstream reporting consumption and achieved a 40% cloud spend reduction with zero downtime during the migration phase.
Experience
Work history, roles, and key accomplishments
Partner with C-level and technical stakeholders to assess data maturity, architecture gaps, and define future-proof data and AI technology blueprints aligned to business goals and regulatory context. Build recommended architecture foundations with client teams and roll out production-grade engineering best practices, governance, and decision documentation to enable independent long-term operation.
Senior Data Engineer
Telenor Shared Services
Sep 2024 - Mar 2026 (1 year 6 months)
Led an enterprise AWS to GCP data platform migration for a multinational telecom organization, refactoring ingestion DAGs and reworking Tableau reporting to consume BigQuery. Achieved 40% overall cloud spend reduction with zero downtime during the migration phase while implementing Terraform-based infrastructure and CI/CD automation.
Lead Data Engineer
Nearsure
Oct 2023 - Oct 2025 (2 years)
Led a 6-person data engineering team to build a B2B real-estate analytics platform, architecting multi-cloud pipelines across GCP (BigQuery, Cloud Storage) and AWS (S3, RDS PostgreSQL). Designed scalable ETL with Databricks, Airflow, and dbt for 25+ property data sources and built Zyte API scraping ingesting 1M+ records/day, while implementing GitHub Actions CI/CD and a Hex monitoring dashboard that reduced DAG failure response to a 24-hour SLA.
Power Platform Engineer
Amaris
Aug 2023 - Sep 2024 (1 year 1 month)
Architected an end-to-end Microsoft Power Platform solution for the World Health Organization pandemic intelligence hub, designing data architecture for cross-division epidemiological project tracking. Built automated ingestion from Azure AD, SharePoint Lists, and Dataverse using Power Automate/Power Query and supported Power Apps used by 50+ health professionals with Power BI dashboards for real-
Tableau Specialist
Growth2Data
Nov 2021 - Sep 2022 (10 months)
Delivered on-demand Tableau support and training sessions, and developed end-to-end analytics solutions for clients across multiple industries. Partnered with stakeholders to iteratively design reporting requirements and dashboard outputs.
Education
Degrees, certifications, and relevant coursework
FIAP
Bachelor's degree in Computer Engineering, Computer Engineering
Earned a bachelor's degree in Computer Engineering at FIAP in 2019.
Babson College
Babson Build Entrepreneurship Program, Entrepreneurship
Completed the Babson Build Entrepreneurship Program at Babson College in 2017.
Availability
Location
Authorized to work in
Social media
Job categories
Skills
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