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Work experience (last 6)

Mar 2023 – Now | Peru
Head of Data
  • Definition, planning and execution of the Generative AI strategy in the company. Since the last Q of 2023, we have started developing Generative AI solutions. Advanced technologies such as Azure OpenAI, Copilot Studio, Microsoft Teams, AI Search, App Services, Blob Storage, Streamlit, LangChain, LangSmith and Azure DevOps are used, marking a milestone in the company's technological history.
  • The benefited areas range from: Human resources, logistics, IT, legal, environment, occupational health and safety to UM, maintenance, metallurgy.
  • Training on Data, Analytics and GenAI topics for the company's collaborators.

Feb 2022 – Mar 2023 | Peru
Data Management Lead
  • Provide training to C Level, Business Managers on the importance of Data Management, Data Governance and Data Quality, Data Literacy.
  • Conduct a Data Management Maturity Assessment (DMMA).
  • Establish Data Strategy
  • Build Data Governance Program
  • Evaluate Data Governance tools before implementation.
  • Definition of scalable data architectures.
  • Creation of formats (policies, standards) for the data governance program.
  • Proofs of concept of data integration technologies, data transformation, data orchestation, data catalog, data integration, data quality, data observability.

Feb 2021 – Jan 2022 | USA / Mexico
Data Architect Senior (Globant)
  • DataOps
  • Data Platform, Data Mesh (DDD)
  • Dataform (Process ELT)
  • Technologies :
    • Google Cloud : Big Query, Cloud Storage, Cloud Build, BigTable, Dataflow
    • Azure : Azure DevOps (Repos, Pipelines, CICD)
    • Open Source : Terraform, SonarQube, Dataform

Jul 2019 – Feb 2021 | Peru
Chapter Lead Big Data

Jan 2019 – Jun 2020 | USA
Senior Data Engineer

  • Management of the Big Data ecosystem from a cluster on AWS (HortonWorks)
  • Shell programming in linux.
  • Technologies :
    • Open Source : Spark, Sqoop, Kafka, Nifi, Hive, Hadoop, Hbase
    • DevOps : Gitlab, Jenkins
    • Other : Talent Data Studio, Birst, Zabbix, Grafana, Oracle, Shell

Sep 2018 – Jan 2019 | Peru
Senior Data Engineer

  • Management of the Big Data ecosystem from a Hadoop cluster in EMR using Hive and Spark.
  • Development of scripts in Python to access AWS services.
  • Ingesting data from Redshift to Hive with Spark.
  • Technologies :
    • AWS : Lambda, SQS, EMR, DynamoDB, Step Functions, RedShift, S3
    • DevOps : Github
    • Open Source : Spark, Sqoop, Nifi, Hive, Hadoop, Hbase, Scala, Python

My online workshops

Ingeniería analítica en Google Cloud con Dataform

aws

Conociendo el Modern Data Stack

aws

aws

Implementando un Data Lakehouse con Apache Hudi en AWS (S3, EMR, Lambda)

aws

Implementando una arquitectura IoT y Big Data con Sigfox y Google Cloud (Pub Sub, BigQuery, Cloud Functions, Data Store)

aws

Implementando una arquitectura IoT y Big Data con Sigfox y Azure (Event Hubs, Azure IoT Hub, CosmosDB, ADLS Gen2, Azure Functions)

aws

Alexa Skills para orquestas trabajos de Glue Databrew con Step Functions

aws

Monitoreo de dispositivos IoT en tiempo real en AWS con Alexa, Raspberry Pi y sensores de humedad y temperatura

aws

Post in Medium

aws

aws

Luis Grados Salinas's Projects

llama_index icon llama_index

LlamaIndex (formerly GPT Index) is a data framework for your LLM applications

llm-movieagent icon llm-movieagent

Semantic layer on top of a graph database to provide an LLM with a set of robust tools to interact with the database

llm-ops-cohort-1 icon llm-ops-cohort-1

Following emerging Large Language Model Operations (LLM Ops) best practices in the industry, you’ll learn all about the key technologies that enable Generative AI practitioners like you to leverage tools like LangChain, LLamaIndex, and more, to build complex LLM applications.

mlbookcamp-code icon mlbookcamp-code

The code from the Machine Learning Bookcamp book and a free course based on the book

mlflow-workshop-part-1 icon mlflow-workshop-part-1

Partly lecture and partly a hands-on tutorial and workshop, this is a three part series on how to get started with MLflow. In this three part series, we will cover MLflow Tracking, Projects, Models, and Model Registry.

mlflow-workshop-part-2 icon mlflow-workshop-part-2

Partly lecture and partly a hands-on tutorial and workshop, this is a three part series on how to get started with MLflow. In this four part series, we will cover MLflow Tracking, Projects, Models, and Model Registry.

mlflow-workshop-part-3 icon mlflow-workshop-part-3

Partly lecture and partly a hands-on tutorial and workshop, this is a three part series on how to get started with MLflow. In this four part series, we will cover MLflow Tracking, Projects, Models, and Model Registry.

mlops-amazon-sagemaker icon mlops-amazon-sagemaker

Workshop content for applying DevOps practices to Machine Learning workloads using Amazon SageMaker

my-aws-eks icon my-aws-eks

A Terraform project to produce a secure, autoscaling EKS cluster for testing, demos, and labs

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