Fernando Rodriguez Email & Phone Number
@tmsinternational.com
1 phone found area 412
LinkedIn matched
Who is Fernando Rodriguez? Overview
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Fernando Rodriguez is listed as Solutions Architect at Databricks, a with 12099 employees, based in Greater Philadelphia, United States. AeroLeads shows a work email signal at tmsinternational.com, phone signal with area code 412, and a matched LinkedIn profile for Fernando Rodriguez.
Fernando Rodriguez previously worked as Sr. Analytics Engineer at Bytecode Io, Inc and Sr. Data Consultant at Bytecode Io, Inc. Fernando Rodriguez holds Bachelor Of Science (Bs), Mechanical Engineering from University Of Notre Dame.
Email format at Databricks
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AeroLeads found 1 current-domain work email signal for Fernando Rodriguez. Compare company email patterns before reaching out.
About Fernando Rodriguez
I am expert in the modern data stack, I specialize in developing and leading cross-functional teams to deliver scalable, data-driven solutions. My experience spans the whole data process from developing ingestion pipelines in Airflow or Fivetran, transformation layers with DBT, BI and self service reports in Looker and Superset to generating BigQuery AI and Vertex AI models for deeper insights.My ability to work and manage across teams and projects ensures successful project execution. I am passionate about enabling businesses to harness the power of their data and empowering teams to make informed, strategic decisions, reduce costs and increase their growth.
Listed skills include Mechanical Engineering, Matlab, C++, Programming, and 27 others.
Fernando Rodriguez's current company
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Fernando Rodriguez work experience
A career timeline built from the work history available for this profile.
Sr. Analytics Engineer
CurrentFunctioned as Bytecode's expert in the modern data stack, leading the development, implementation, and on boarding of the Analytics Engineering Group.Implemented and optimized robust data pipelines using a modern data stack. For example implementing Fivetran, dbt, Snowflake/Snowspark and AWS Lambda functions to automate the ingestion and aggregation of multiple data endpoints, significantly improving data accessibility, processing speed, and overall reporting capabilities at large non-profit.Restructured and optimized BigQuery reporting models for a large biomedical company, resulting in a dramatic improvement in query performance. By reducing a 250GB query to approximately 200MB, I significantly lowered cloud computing costs and improved data retrieval times, providing the company with a much more efficient and cost-effective analytics infrastructure.Led the deployment of AI and machine learning models using BigQuery AI and Vertex AI for high-impact proof-of-concept projects, addressing complex data challenges for clients in the logistics and healthcare sectors. These models enabled predictive insights and optimized operational processes, paving the way for future AI-driven implementations.Developed cloud functions and add-ons for multiple clients to further expand their data capabilities and their BI connectivity including calling Prophet from dashboards and further enhancing Looker's download capabilities to allow for encryption, SSH-SFTP and direct messaging of users.Designed and develop Airflow DAG's both for ETL process but also for delivery of reports to multiple stakeholders. The streamlined reporting pipeline allowed for improved communication, reduced manual overhead and timely delivery of critical data.Provided technical expertise across multiple industries, helping both clients and coworkers leverage the modern data tools like dbt, Snowflake, BigQuery and Looker/Superset to drive better decision-making.
Sr. Data Consultant
Worked with small start-ups to large companies helping them understand their data, enable their developers, and provide expertise in both the modern data stack and generating actionable insights from their data.Implement data pipelines using the modern data stack including Snowflake, Big Query, Redshift, Fivetran, Airflow, Stitch, dbt, Looker, Tableau and Superset.Work in cross functional teams for clients to identify reporting needs, best ways to implement workflows for data transformation and identify cost savings opportunities.Manage short to long term engagements, identifying resources necessary, deliverables and allocation of time for small data teams.Develop reporting tools using a variety of SDK's using Typescript and React, interacting with Looker API endpoints. Create custom visualizations using D3.Implement python scripts to provide security, content, and user security in a Looker environment, as well as rapid deployment of microservices.Provide training for both developers and business users in both LookML and Preset, and create internal training materials for Bytecode’s consultants on topics like Python Looker Intergraiton, DBT startup, Javascript Event Capture and complex SQL logic.
Director Of Engineering
Led a team that provided business intelligence, operational analysis and engineering support to over 70+ domestic and international sites. Spearheaded rollout of telematics across TMS fleet and data analytics to help track performance of 6,000+ pieces of equipment.Developed automated processes for CAPEX projection of a $35M budget combining fleet, operational and OEM data. Designed IoT industrial mobile scales to provide weight information to production systems. Created simulation tool for layout of scrapyard operations based on historical data.Handled rollout of electronic reporting for auditing purposes regarding TMS Maintenance Operations. Created interactive dashboards for maintenance expense tracking, cost allocation and equipment operational cost per hour.
Associate Engineer
Associate Engineer
Graduate Assistant
Created a distributed computing program using Condor/MATLAB that used genetic optimization to design compliant systems for a number of tasks with ideal motionAnalyzed resulting optimization data to identify trends in generation of compliant mechanisms for diverse assemblies; insights allow quicker generation of systems given a certain task and geometryIdentified and applied mathematical constraints to guarantee robustness and success of designed systems
Teaching Assistant
Designed and led lab experiments and projects focused on failure mechanics, component selection and design for a junior/senior level design of machine elements course.Lectured, graded, and mentored junior and senior students in dynamics of mechanical systems courses and design of machine elements.
Lab Assistant
Led experiments and discussions to teach the basics of microcontroller programming and electronic systems to junior mechanical engineering students.
Undergraduate Research Assistant
Designed an electromechanical infinitely variable transmission for power flow control of a compressed air-gasoline hybrid system for start-stop applications.Prepared and presented a report on the state of the art of compressed air systems and infinitely variable transmissions.
Colleagues at Databricks
Other employees you can reach at databricks.com. View company contacts for 12099 employees →
Mubarak Ayo Ola
Colleague at DatabricksLagos, Lagos State, Nigeria
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Harris Thayer
Colleague at DatabricksAustin, Texas, United States
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Quentin Finck
Colleague at DatabricksFrance
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Benjamin Mathew
Colleague at DatabricksSan Francisco Bay Area, United States
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Grace Zwaan
Colleague at DatabricksDevon, Pennsylvania, United States
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Kaniz Fatma
Colleague at DatabricksBengaluru, Karnataka, India
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Aaron Wright
Colleague at DatabricksGreater Indianapolis, United States
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Rob Meyer
Colleague at DatabricksSalt Lake City, Utah, United States
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PF
Peter Feng
Colleague at DatabricksCheshire, Connecticut, United States
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Daniel Alvarez
Colleague at DatabricksSouth San Francisco, California, United States
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Fernando Rodriguez education
Bachelor Of Science (Bs), Mechanical Engineering
Master Of Science (M.S.), Mechanical Engineering
Frequently asked questions about Fernando Rodriguez
Quick answers generated from the profile data available on this page.
What company does Fernando Rodriguez work for?
Fernando Rodriguez works for Databricks.
What is Fernando Rodriguez's role at Databricks?
Fernando Rodriguez is listed as Solutions Architect at Databricks.
What is Fernando Rodriguez's email address?
AeroLeads has found 1 work email signal at @tmsinternational.com for Fernando Rodriguez at Databricks.
What is Fernando Rodriguez's phone number?
AeroLeads has found 1 phone signal(s) with area code 412 for Fernando Rodriguez at Databricks.
Where is Fernando Rodriguez based?
Fernando Rodriguez is based in Greater Philadelphia, United States while working with Databricks.
What companies has Fernando Rodriguez worked for?
Fernando Rodriguez has worked for Databricks, Bytecode Io, Inc, Tms International Corporation, Tube City Ims, and Marquette University.
Who are Fernando Rodriguez's colleagues at Databricks?
Fernando Rodriguez's colleagues at Databricks include Mubarak Ayo Ola, Harris Thayer, Quentin Finck, Benjamin Mathew, and Grace Zwaan.
How can I contact Fernando Rodriguez?
You can use AeroLeads to view verified contact signals for Fernando Rodriguez at Databricks, including work email, phone, and LinkedIn data when available.
What schools did Fernando Rodriguez attend?
Fernando Rodriguez holds Bachelor Of Science (Bs), Mechanical Engineering from University Of Notre Dame.
What skills is Fernando Rodriguez known for?
Fernando Rodriguez is listed with skills including Mechanical Engineering, Matlab, C++, Programming, Manufacturing, Data Analysis, Research, and Capital Planning.
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