Alexsander Silveira
Betim
Summary
With a deep passion for technology and a strong journey through the world of data, I've been transforming businesses by delivering impactful analytics and engineering solutions across multinational and national companies. My expertise includes tools like Power BI, ClickHouse, MySQL, AB Initio, SAP, and modern cloud platforms (Azure, AWS, GCP), along with advanced proficiency in Python and R. I'm skilled in both Agile and Waterfall methodologies, building end-to-end data workflows that drive intelligent decision-making. In past roles, I delivered actionable insights and optimized operations by leading the migration of data visualization tools and executing strategic analyses that generated cost savings and boosted revenue. I also redesigned and clustered large-scale data pipelines, enhancing performance and scalability. I actively integrate machine learning and AI into my workflows - developing predictive models, automating insights, and even exploring generative AI (LLMs) to accelerate reporting, enrichment, and intelligent alerting. My approach blends engineering precision with AI-driven innovation. My dedication goes beyond technique: immersed in continuous learning and enhancement through training and mentorships, I remain at the forefront of sector technologies and practices. I invite you to explore my work in depth on my Medium portfolio (https://medium.com/@alexsander.silveira1) and to connect to discuss future collaborations and opportunities. Results-driven Data Engineer known for high productivity and efficient task completion. Skilled in big data processing frameworks like Hadoop and Apache Spark, database management using SQL, and data visualization with tools such as Tableau. Excel in problem-solving, collaboration, and adaptability to leverage technical skills in developing innovative data solutions across diverse environments.
Overview
5
5
years of professional experience
1
1
Certification
Work History
Senior Analytics Engineer
Domo
Los Angeles Metropolitan Area
10.2024 - Current
- Embedded machine learning and generative AI components (LLMs) into data pipelines in Azure Synapse, enhancing automated insights and reporting. Currently designing a PySpark-based solution to improve lead scoring using behavioral signals.
Developed Power BI dashboards connected to Synapse SQL pools, enabling executive tracking of strategic KPIs and improving visibility into marketing and sales performance.
Built ELT pipelines in Azure Data Factory using dbt and Synapse, ensuring modular and testable data models that reduce errors and standardize business logic.
Orchestrated data flows with Synapse Pipelines and Delta Lake to enable near real-time segmentation using ML model outputs – boosting campaign targeting consistency.
Migrated legacy scripts to PySpark within Synapse Spark pools, reducing transformation time by 25% on large datasets.
Worked closely with DevOps teams to implement CI/CD pipelines using Azure DevOps and GitHub, improving deployment speed and code versioning for analytics workflows.
Partnering with product analytics to build an experimentation framework in Synapse + dbt + ML to measure uplift in user engagement across communication channels
Senior Data Analyst
Anglo American
London Area
02.2024 - 10.2024
- Led the development of advanced Power BI dashboards connected to Azure Synapse Analytics, enabling real-time operational KPI tracking and cutting reporting delays by 15% across business units.
- Optimized complex SQL Server queries and stored procedures, reducing compute costs by over 20% via strategic indexing and query tuning.
- Automated repetitive data pipelines with Python and Azure Data Factory, saving ~30 hours/month and increasing data refresh reliability.
- Built and deployed predictive models in Synapse Spark Pools (PySpark) to forecast supply chain delays, reducing penalty costs by 12% through proactive adjustments.
- Integrated Azure Databricks and SAP HANA, improving large-scale data processing by 40%—a key enhancement for executive reporting workflows.
- Migrated legacy ETL jobs to AB Initio and Azure Data Flows, improving data consistency and reducing pipeline failures by more than 35%.
- Applied metadata tagging and ClickHouse performance tuning, cutting dashboard load times by 50% and supporting faster root cause analysis.
- Promoted DevOps culture using CI/CD pipelines via Azure DevOps and GitHub Actions, enabling faster and more secure analytics deployments.
Senior BI Analyst
Grupo SADA
Betim
08.2023 - 02.2024
- Redesigned Power BI dashboards for operational reporting, cutting weekly reporting time by 40% and improving stakeholder adoption across finance and logistics teams.
- Improved performance of critical SQL Server queries used in inventory management, contributing to a 12% increase in data retrieval speed and more accurate stock forecasting.
- Developed Python scripts for cleaning and transforming production data, which reduced manual intervention and helped identify anomalies that saved R$80K in potential supply errors.
- Migrated legacy spreadsheets to automated Excel+Power BI models, enhancing visual clarity and reducing dependency on manual updates.
- Led the integration of Azure Data Factory and Azure Data Lake into existing ETL workflows, enabling centralized access to real-time operational data.
- Implemented scalable data pipelines using Azure Data Flows and Databricks, aligning with Lakehouse architecture principles to boost query performance and support future ML initiatives.
- Championed GitHub versioning and DevOps standards in BI delivery, reducing deployment errors and increasing collaboration between tech and business teams.Redesigned Power BI dashboards for operational reporting, cutting weekly reporting time by 40% and boosting stakeholder adoption across finance and logistics teams.
- Optimized key SQL Server queries for inventory control, improving data retrieval speed by 12% and enhancing stock forecasting accuracy.
- Developed Python scripts for data cleaning and anomaly detection in production workflows, preventing potential supply errors and saving R$80K.
- Migrated manual spreadsheets into dynamic Excel + Power BI models, improving visual clarity and eliminating update dependencies.
- Led the integration of Azure Data Factory and Azure Data Lake into existing ETL workflows, centralizing access to real-time operational data.
- Built scalable data pipelines using Azure Data Flows, Azure Databricks, and PySpark, following Lakehouse architecture to improve performance and support future ML use cases.
- Championed GitHub version control and DevOps standards in BI processes, reducing deployment issues and strengthening collaboration between business and tech stakeholders.
Senior Data Analyst
ERG Engenharia
Belo Horizonte
05.2023 - 08.2023
- Developed and delivered interactive Power BI dashboards for operational monitoring, improving visibility of key KPIs and reducing SLA breaches by 25% in engineering operations.
- Optimized SQL Server queries for large datasets, enhancing performance and reducing report load times by over 60%, enabling faster decision-making across departments.
- Automated recurring data analysis tasks using Python scripts, which eliminated 20+ hours/month of manual work and enhanced the accuracy of forecasting models.
- Designed robust ETL workflows using SSIS to ensure data accuracy and consistency across multiple internal systems.
- Leveraged GCP tools (BigQuery, Dataflow, Data Studio) to deploy scalable analytics pipelines, contributing to a 15% cost reduction in data infrastructure by replacing legacy solutions.
- Utilized Databricks and implemented the Medallion Architecture for structured data transformation layers, increasing processing efficiency and data governance.
Data Analyst
DHL Supply Chain
Betim
01.2022 - 05.2023
- Progressed from Data Assistant to Data Analyst, spearheading reporting optimization and enhancing supply chain intelligence through scalable Azure-based solutions.
- Built and maintained Power BI and Tableau dashboards connected to Azure Synapse and Databricks, enabling real-time logistics monitoring and reducing delivery delays, boosting SLA adherence by 18%.
- Developed demand forecasting models using Python, SQL, and PySpark, helping reduce overstock by 12% in critical distribution centers.
- Automated legacy ETL flows with Azure Data Factory and Python, transforming manual Pentaho-based processes and cutting report generation time from hours to minutes.
- Applied Medallion Architecture in Azure Databricks to structure bronze, silver, and gold data layers, improving processing efficiency and enabling robust data lineage.
- Managed and optimized SQL Server and ClickHouse workloads, conducting data migrations and ensuring high pipeline reliability.
- Utilized AB Initio for advanced data transformation and cross-platform movement in enterprise environments.
- Deployed metadata tagging and implemented WMS analytics, unlocking near real-time visibility into warehouse operations and inventory performance.Progressed from Data Assistant to full Data Analyst, leading initiatives that optimized reporting workflows and enhanced supply chain intelligence.
- Built and maintained Power BI and Tableau dashboards that supported real-time logistics monitoring, reducing delivery delays and improving SLA adherence by 18%.
- Developed predictive models using Python and SQL to forecast inventory demands, helping cut overstock costs by 12% in critical distribution centers.
- Automated manual ETL processes using Pentaho and Python scripts, reducing report generation time from hours to minutes.
- Employed Databricks and the Medallion architecture to manage large-scale data layers efficiently, driving improvements in processing speed and data lineage tracking.
- Managed and optimized SQL Server and ClickHouse databases, executing data migrations and troubleshooting pipelines to maintain high data reliability.
- Leveraged AB Initio for complex transformations and data movements across systems, supporting enterprise-level integration.
- Introduced metadata tagging strategies and implemented WMS analytics, providing near real-time insights into warehouse performance and inventory turnover.
Data Assistant
DHL Supply Chain
Betim
11.2020 - 01.2022
- Utilized Power BI to design and develop interactive dashboards and data visualizations that facilitated decision-making processes;
- Tableau for developing interactive data visualizations and business insights. I utilize Tableau to transform raw data into understandable visual reports, facilitating the analysis of trends and data-driven decision-making.
- Employed SQL Server to manage and manipulate large data sets, ensuring data accuracy and consistency;
- Utilized Python for data analysis and development of automated solutions, improving data processing efficiency and reducing errors;
- Leveraged Excel to perform simpler data analyses and generate reports, providing valuable insights to stakeholders.
- ClickHouse for high-performance data management, encompassing troubleshooting, dashboard development, and system migrations.
- WMS, enabling our analytics teams to monitor logistics performance, inventory levels, and order fulfillment in near real time. This integration was crucial for proactive decision-making in our supply chain operations.
Education
M.D. - Postgraduate in Data Science
UNIFAEL
Betim, Minas Gerais, Brazil10.2024
M.D. - Software Engineer
Estácio
Belo Horizonte, Minas Gerais, Brazil12.2022
M.D. - Supply Chain And Logistics Management
Centro Universitário Una
Betim, Minas Gerais, Brazil01.2022
Skills
- Pyspark
- Hadoop
- Power BI
- Python
- SQL
- Databricks
- Snowflake
- Azure
- AWS
- GCP
- ML
- AI
- Apache Airflow
- Git
- CI/CD
- Kafka
- Oracle
- DBT (Data Build Tool)
- Terraform
- Docker
- Kubernetes
- Data Modeling (Star/Snowflake Schema)
- Data Lake / Data Warehouse / Data Marts
- 1
Certification
- Astronomer Certification for Apache Airflow Fundamentals
- Oracle Cloud Infrastructure 2023 Certified Foundations Associate certification
- Databricks Lakehouse Fundamentals
- Python for Data Analysis and Machine Learning
Languages
Portuguese
First Language
English
Proficient (C2)
C2
Spanish
Upper Intermediate (B2)
B2
Timeline
Senior Analytics Engineer
Domo
10.2024 - Current
Senior Data Analyst
Anglo American
02.2024 - 10.2024
Senior BI Analyst
Grupo SADA
08.2023 - 02.2024
Senior Data Analyst
ERG Engenharia
05.2023 - 08.2023
Data Analyst
DHL Supply Chain
01.2022 - 05.2023
Data Assistant
DHL Supply Chain
11.2020 - 01.2022
M.D. - Postgraduate in Data Science
UNIFAEL
M.D. - Software Engineer
Estácio
M.D. - Supply Chain And Logistics Management
Centro Universitário Una
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