Murilo Tavolaro De Nigris, Developer in São Paulo - State of São Paulo, Brazil
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Murilo Tavolaro De Nigris

Verified Expert  in Engineering

Bio

Murilo is passionate about big data projects and delivering business value through them. He has managed teams of data engineers, scientists, and analysts and specializes in building data platforms. Murilo has delivered data platforms and modeling for three startups, assisted in hiring teams, built ETL and ELT processes, and completed data warehouse modeling for sales, inventory, logistics, and products. Previous roles include head of BI, pricing specialist, and head of data and analytics.

Portfolio

Online Freelance Agency
AWS Glue, AWS Step Functions, AWS Lambda, Spark, PySpark, Snowflake...
Accenture
Amazon Web Services (AWS), Dimensional Modeling, Redshift, Spark, Java, Git...
Tavolaro Consultoria
Data Build Tool (dbt), Singer ETL, Airbyte, Google Cloud, Pub/Sub...

Experience

  • SQL - 8 years
  • Dimensional Modeling - 8 years
  • Git - 8 years
  • Amazon Web Services (AWS) - 5 years
  • Google Cloud - 5 years
  • BigQuery - 4 years
  • Python - 3 years
  • Snowflake - 2 years

Availability

Part-time

Preferred Environment

SQL, Python 3, Redshift, BigQuery, Snowflake, Spark, Dimensional Modeling, Amazon Web Services (AWS), Google Cloud, Python

The most amazing...

...project I've created from scratch was a scalable data platform to handle terabytes of data using a custom serverless orchestration framework.

Work Experience

Data Engineer, Tech Lead

2022 - 2023
Online Freelance Agency
  • Led a team of five experienced data engineers to define, develop and test big data pipelines in Python and Spark for a major US healthtech.
  • Streamlined deployment of pipelines by leveraging AWS Step Functions, Lambda, and Glue, ensuring high availability and efficient execution of data processing tasks.
  • Applied data modeling techniques to health data, optimizing its usage in Snowflake and enabling richer analytics.
Technologies: AWS Glue, AWS Step Functions, AWS Lambda, Spark, PySpark, Snowflake, CI/CD Pipelines, ETL, Data Warehousing, Data Modeling, Amazon S3 (AWS S3), Data Lakes, Cloud, Data Architecture, Databricks, Warehouses, Data Manipulation, Orchestration

Data Engineer Manager

2021 - 2022
Accenture
  • Refactored big data pipelines in Spark and Java to adhere to expected SLAs and to improve data reliability and accuracy.
  • Created a data warehouse on AWS to analyze telecommunications data and generate insights into M&A deals.
  • Developed different data analyses to define strategies to maximize revenues for several telecommunications products.
Technologies: Amazon Web Services (AWS), Dimensional Modeling, Redshift, Spark, Java, Git, Control-M, Linux, ETL, Data Engineering, Python, Tableau, Big Data, Apache Spark, AWS Glue, Data Warehousing, Data Analytics, Business Intelligence (BI), Data Build Tool (dbt), Apache Kafka, ELT, Hadoop, Leadership, Data Pipelines, Microsoft Power BI, Data Analysis, Cloud, Microsoft Excel, Visual Basic, Data Architecture, Data Management, Data Modeling, Warehouses, Big Data Architecture, Data Manipulation, Orchestration

Head of Data

2020 - 2021
Tavolaro Consultoria
  • Designed and implemented data platforms for three startups.
  • Created ELT processes using Google Cloud, dbt, Python, Airbyte, Singer, and Airflow.
  • Designed the data warehouse and completed data modeling for those companies.
  • Developed and delivered several reports and analyses to guide business decisions.
  • Assisted in hiring teams of data engineers, analysts, and scientists.
Technologies: Data Build Tool (dbt), Singer ETL, Airbyte, Google Cloud, Pub/Sub, Jupyter Notebook, ETL, Data Architecture, Apache Airflow, Data Engineering, Google BigQuery, Google Analytics, Python, Data Warehousing, Data Analytics, Business Intelligence (BI), ELT, Leadership, MongoDB, MongoDB Atlas, Data Analysis, Business Analysis, Cloud, Microsoft Excel, Data Modeling, Warehouses, Analytics, Data Manipulation, Orchestration

Head of Data & Analytics

2016 - 2020
Amaro
  • Led a team of ten, including data engineers, data analysts, and data scientists using Agile methodologies to develop and deliver data products to seven internal areas.
  • Built from the ground up a data and analytics area for collecting, organizing, and analyzing all possible data sources to increase business value.
  • Gathered the strategy of the company and each department to build the ideal data architecture and roadmap to accelerate its growth.
  • Developed ETL and ELT processes using pipeline tools, Python, and orchestration frameworks. Completed data warehouse modeling of sales, cost, inventory, logistics, product, and customers.
  • Implemented a Data Lake in AWS and Snowflake using an in-house serverless infrastructure.
  • Led the development and implementation of a sales forecast algorithm for fashion products.
  • Managed implementation, rollout, and training of Looker as a visualization tool for all areas.
Technologies: Amazon Web Services (AWS), AWS Lambda, SQL, Snowflake, GitLab, Amazon EKS, Amazon EC2 API, Amazon S3 (AWS S3), Spark, Looker, Python 3, Amazon Elastic MapReduce (EMR), ETL, Data Engineering, Google Analytics, Python, Big Data, Data Warehousing, Data Analytics, Business Intelligence (BI), Data Build Tool (dbt), ELT, Leadership, Data Pipelines, Data Analysis, Business Analysis, Mixpanel, Web Marketing, Product Management, Cloud, Microsoft Excel, Data Architecture, Data Modeling, Warehouses, NoSQL, Analytics, Data Manipulation, Orchestration

Pricing Specialist

2016 - 2016
BRF
  • Developed reports with sales and price forecasts for different areas.
  • Automated several data workflows to deliver reports to over 200 people.
  • Designed the transformation of millions of rows from different data sources using pre-approved tools and a limited budget for the infrastructure.
Technologies: Excel 365, Excel VBA, Python 3, R, Tableau, SQL, SQL Server 2016, ETL, Data Analytics, Data Pipelines, Data Analysis, Business Analysis, Microsoft Excel, Alteryx, Visual Basic for Applications (VBA), Analytics, Data Manipulation

Head of Business Intelligence

2015 - 2016
ClickBus
  • Led four data engineers and analysts to support the company's international team in four countries.
  • Completed data warehouse modeling using the star schema and developed ETL processes using the Pentaho suite.
  • Developed scripts to automate reports and collect data and created reports for marketing, finance, product managers, investors, and the board.
Technologies: Pentaho, Amazon Web Services (AWS), Ruby, Redshift, PostgreSQL, SQL, ETL, Data Engineering, Google BigQuery, Google Analytics, Data Warehousing, Data Analytics, Business Intelligence (BI), Leadership, Data Pipelines, Data Analysis, Business Analysis, Web Marketing, Product Management, Cloud, Microsoft Excel, Visual Basic, Data Modeling, Warehouses, Analytics, Data Manipulation, Orchestration

CRM Intern

2014 - 2014
Clickbus
  • Developed strategies and defined content creation for email marketing campaigns.
  • Created customer segmentations to send personalized emails.
  • Developed ETL processes using Ruby, Pentaho, and SQL.
  • Analyzed KPIs and built reports to optimize marketing campaigns and better understand customers' behaviors.
Technologies: Exacttarget, Pentaho, SQL, Ruby, ETL, Google Analytics, Data Pipelines, Data Analysis, Business Analysis, Visual Basic, Data Manipulation

Software Developer Intern

2011 - 2013
BExpert
  • Developed several modules of a CRM software for a travel agency,.
  • Participated in development, homologation, deployment and support phases.
  • Created customized web pages using PHP, SQL, JavaScript, HTML, and CSS.
Technologies: PHP, JavaScript, HTML, CSS, MySQL, SQL

Data Platform for Omnichannel Fashion Brand

Set up a data platform and built the team for a fashion startup with 400 employees. The goal was to support all business areas of the company and provide them with high-quality data meeting their SLAs.

https://link.medium.com/lh62MBKe4ub

Building a Data and Analytics Area in a Fast-growing Company

https://medium.com/amaro/challenges-of-building-a-data-analytics-area-in-a-fast-growing-company-d3f5db7407c6
This article recounts my journey of building a data and analytics team and infrastructure from the ground up for an omnichannel retail brand. It explores the lessons learned, hurdles encountered, and outcomes achieved in this process.

The successful establishment of the team and infrastructure led to providing valuable data and insights to 10 distinct internal departments, supporting a company of 400 employees.
2008 - 2014

Bachelor's Degree in Mechatronic Engineering

Escola Politécnica - Universidade de São Paulo - São Paulo, Brazil

Libraries/APIs

Amazon EC2 API, PySpark

Tools

Looker, Microsoft Excel, BigQuery, Tableau, Google Analytics, Stitch Data, Microsoft Power BI, MongoDB Atlas, GitLab CI/CD, Git, Control-M, GitLab, Amazon EKS, Amazon Elastic MapReduce (EMR), Apache Airflow, AWS Glue, AWS Step Functions

Languages

SQL, Snowflake, Python, Visual Basic, Python 3, Java, PHP, JavaScript, HTML, CSS, Ruby, Excel VBA, R, Visual Basic for Applications (VBA)

Paradigms

Dimensional Modeling, ETL, Business Intelligence (BI)

Storage

Data Pipelines, Redshift, Google Cloud, Amazon S3 (AWS S3), MongoDB, MySQL, Exacttarget, PostgreSQL, SQL Server 2016, Data Lakes, NoSQL

Platforms

Amazon Web Services (AWS), Linux, Mixpanel, AWS Lambda, Pentaho, Airbyte, Jupyter Notebook, Apache Kafka, Alteryx, Databricks

Frameworks

Spark, Apache Spark, Hadoop

Other

Data Build Tool (dbt), Data Architecture, Data Engineering, Data Warehousing, Data Analytics, ELT, Data Modeling, Data Analysis, Cloud, Data Manipulation, Google BigQuery, Leadership, Business Analysis, Web Marketing, Product Management, Data Management, Warehouses, Big Data Architecture, Analytics, Orchestration, Computer Science, Robotics, Calculus, Excel 365, Singer ETL, Pub/Sub, Volunteering, Big Data, CI/CD Pipelines

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