Nilkary Villegas Email & Phone Number
Who is Nilkary Villegas? Overview
A concise factual answer block for searchers comparing this professional profile.
Nilkary Villegas is listed as Technical Data Leader at Qintess, a with 1270 employees, based in Santiago, Santiago Metropolitan Region, Chile. AeroLeads shows a matched LinkedIn profile for Nilkary Villegas.
Nilkary Villegas previously worked as Senior Data Engineer at Qintess and Data Analytics & ML Lead at Zenta Group. Nilkary Villegas holds Specialist In Project Managing, Project Managing from Universidad Católica Andrés Bello.
Email format at Qintess
This section adds company-level context without repeating Nilkary Villegas's masked contact details.
Review company-level records connected to Nilkary Villegas before choosing the right outreach path.
About Nilkary Villegas
Professional with more than 4 years of experience in leading data analysis teams, digital transformation and developing data strategies aimed at decision-making. Expert in predictive analysis, machine learning and process optimization. Extensive experience in the implementation of Big Data solutions, development of analytical models and transformation of data into strategic value for the organization.
Listed skills include Amazon Web Services, Responsabilidad Profesional, Bases De Datos, Microsoft Sql Server, and 18 others.
Nilkary Villegas's current company
Company context helps verify the profile and gives searchers a useful next step.
Nilkary Villegas work experience
A career timeline built from the work history available for this profile.
Senior Data Engineer
I am currently assigned to a client in the banking sector, working with AWS technologies, ingesting data into the datalake, using tools with AWS Glue and AWS Cli. Creation of automatic processes, control boards and support of KPIs on a regional basis. Identify and raise opportunities for improvement in business processes by applying the resolution of analytical solutions. I currently lead engineering and data analytics projects, related to customer classification processes and information ingestion for model optimization.
Data Analytics & Ml Lead
I currently lead an analytics area at Zenta, which must ensure the implementation of EDA (Data Exploration) to understand its nature and generate preliminary analysis. Preprocessing data by cleaning, transforming and packaging into structures useful for processing.Analysis through the selection of appropriate techniques and the construction of processing models (classification, grouping, prediction, etc.). Research, development and implementation of new programming techniques that enable statistical analysis. Use statistical and artificial intelligence techniques to extract value from different data sources. Report generation and visualization in Looker. Implementation and monitoring of the performance of both descriptive and predictive models in business processes-Manage and manage data teams, in terms of administrative processes (vacations, leave, bakcup, among others)- Supervise the different data services that we provide to our clients.- Ensure the effective integration of the data management process with other processes.- Guarantee compliance with standards, procedures in the management of data services.- Attend appropriate development review and management level support (including supplier, customer and development meetings).- Compare and analyze process measurements associated with data management and recommend improvement activities based on service deviation.- Guarantee the quality of the services provided by the various teams in the area.- Design and create strategic operational plan for the area to meet company goals.- Knowledge of cloud environments, as well as data management solutions.- Among others.
Data Analytics Lead
Design and construction of ETL in GCP and AWS cloud environments and hybrid environments. Participation in cloud migration projects, design of resilient data architecture solutions in cloud environments. Construction and design of corporate datalake in near real time. Use of tools such as Data Fusion, Dataflow, Compute Engine, Cloud Storage, Amazon S3, AWS Lambda, AWS Glue, Amazon Athena, Amazon DynamoDB, among others. Tools in on-premise systems Datastage, development of CAWA meshes. Working under agile methodologies such as Scrum and Kanban, Project management through PMI. Tools such as Confluence, Jira, BitBucket version control, GitHub, Rational (RTC), among others.
Expert Data Engineer
Data ingestion processes from Storage to BigQuery, financial accounting processes, establishment by processing and transforming data with Dataflow with the open source Apache Beam programming model with the Java language (Eclipse). Modification of codes for the optimization and configuration of ingestion processes. I work under agile methodology such as Scrum and use of Kanban, Miro, Confluence and Jira.
Data Engineer
Data ingestion processes from Storage to BigQuery, financial accounting processes, establishment by processing and transforming data with Dataflow with the open source Apache Beam programming model with the Java language (Eclipse). Modification of codes for the optimization and configuration of ingestion processes. I work under agile methodology such as Scrum and use of Kanban, Miro, Confluence and Jira.
Instructor
Professor in the chairs of Differential and Integral Calculus, Statistics applied to Economic and Social Sciences.
Data Analyst
Design and development of new data models allowing intuitive analyzes for clients. Executed data pipelines ingesting and moving data (both large and small) to the Data Warehouse using BigQuery. Knowledge of Python and Management SQL Server for Postgre. Preparation of Exploratory Data Analysis. Preparation of reports with Power BI and Tableau
Data Analyst
in Google Cloud Platform (GCP) systems architecture, handling of Python. Knowledge of GCP tools (e.g. SQL, Big Query, Cloud Storage, Dataflow, Dataproc). Experience with data visualization tools such as Google Data Studio, development of scripts for automation of orchestration processes in the cloud.
Analista De Datos
Administración de flujos de trabajo (DAG), en el entorno de Airflow para realizar acciones administrativas. Desarrollo de scripts en BigQuery y administración de bases de datos relacionales en Cloud SQL para Postgre SQL. Manejo uso de herramientas como Python y SQL Server para el procesamiento de datos. Conocimiento avanzado en metodologías ágiles como Scrum, kanban.
Nilkary Villegas education
Specialist In Project Managing, Project Managing
Bachelor'S Degree, Educación Mención Física Y Matemática, 19,3
Frequently asked questions about Nilkary Villegas
Quick answers generated from the profile data available on this page.
What company does Nilkary Villegas work for?
Nilkary Villegas works for Qintess.
What is Nilkary Villegas's role at Qintess?
Nilkary Villegas is listed as Technical Data Leader at Qintess.
Where is Nilkary Villegas based?
Nilkary Villegas is based in Santiago, Santiago Metropolitan Region, Chile while working with Qintess.
What companies has Nilkary Villegas worked for?
Nilkary Villegas has worked for Qintess, Zenta Group, Kibernum Chile, Ucab - Universidad Católica Andrés Bello, and Ministerio Del Despacho De La Presidencia Y Seguimiento De La Gestión De Gobierno.
How can I contact Nilkary Villegas?
You can use AeroLeads to view verified contact signals for Nilkary Villegas at Qintess, including work email, phone, and LinkedIn data when available.
What schools did Nilkary Villegas attend?
Nilkary Villegas holds Specialist In Project Managing, Project Managing from Universidad Católica Andrés Bello.
What skills is Nilkary Villegas known for?
Nilkary Villegas is listed with skills including Amazon Web Services, Responsabilidad Profesional, Bases De Datos, Microsoft Sql Server, Gobernanza De La Nube, Google Cloud, Google App Engine, and Nosql.
Search by job title, company, industry, location, and seniority. Export verified B2B contact data when you need it.
Start free trial