Fernando Fonseca Espinoza
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Fernando Fonseca Espinoza Email & Phone Number

Data Engineer at Indra
Location: Peru 6 work roles 2 schools
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✓ Verified July 2026 3 data sources Profile completeness 86%

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Current company
Role
Data Engineer
Location
Peru
Company size

Who is Fernando Fonseca Espinoza? Overview

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Quick answer

Fernando Fonseca Espinoza is listed as Data Engineer at Indra, a with 38166 employees, based in Peru. AeroLeads shows a matched LinkedIn profile for Fernando Fonseca Espinoza.

Fernando Fonseca Espinoza previously worked as Data Analyst at Interbank and CRM Data Analyst at Bbva In Peru. Fernando Fonseca Espinoza holds Bachelor'S Degree, Ingeniería De Sistemas from Universidad Nacional Mayor De San Marcos.

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Email format at Indra

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Indra

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Profile bio

About Fernando Fonseca Espinoza

Bachelor in Systems Engineering with more than 5 years of experience in the banking sector, focused on the development of technological solutions for process improvement through automation, resource optimization and implementation of best practices. Specialized in data analysis to provide strategic insights and develop interactive dashboards that facilitate the monitoring of key indicators. I facilitate informed decision making through efficient data extraction, processing and transformation. Committed to working under agile methodologies to foster innovation and adaptation in dynamic environments.

Current workplace

Fernando Fonseca Espinoza's current company

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Indra
Indra
Data Engineer
Peru
Employees
38166
AeroLeads page
6 roles

Fernando Fonseca Espinoza work experience

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Data Engineer

Peru

Data Analyst

Current

Lima, Perú

Sep 2024 - Present

Crm Data Analyst

Lima, Peru

> Development of distributed queries in PySpark to perform exploratory analysis of large volumes of data, optimizing the extraction of key insights in big data environments.> Time series analysis with PySpark, processing large-scale historical data to identify behaviors and predict future trends.> Application of web scraping techniques in Python using libraries such as BeautifulSoup and Scrapy to extract relevant data from websites, transforming it into structured formats for further analysis.> Creation of interactive dashboards and dynamic panels in Looker Studio that enable advanced visualization of metrics and KPIs.> Development of ETL pipelines in AWS Glue for automated extraction, transformation and loading of large volumes of data from various sources.> Implementation of AWS S3 to store and share files between teams, ensuring the security and accessibility required for periodic analysis and reporting.

Sep 2023 - Sep 2024

Risk Planning Data Analyst

Lima, Peru

> Processing large data volumes in clusters using DataFrames and RDDs to perform efficient transformations.> Data exploration with PySpark to identify patterns and trends in large data sets using aggregation and filtering functions.> Implementing extract, transform and load (ETL) processes using SQL Server Integration Services (SSIS).> Designing and optimizing Microsoft SQL Server stored procedures to automate data extraction and transformation processes, improving operational efficiency.> Creation of interactive visualizations in Looker Studio, using filters and parameters to facilitate data exploration and trend identification.> Detailed analysis of user behavior, using segments and conversion funnels using Google Analytics.

Feb 2021 - Aug 2023

Internship

Lima, Peru

> Automation of data cleansing and transformation processes with Python.> Development of Python scripts for data extraction from APIs and SQL databases, facilitating the access to relevant information for analysis.> Optimization of SQL queries through the use of indexes and performance analysis, improving the efficiency of data extraction.> Development of VBA scripts to automate repetitive tasks in Microsoft Excel.> Construction of dashboards in Looker Studio that integrate data from various sources, facilitating the analysis of important metrics in real time.

Jan 2020 - Feb 2021

Software Developer

Lima, Peru

> Development of web applications using Spring Framework, facilitating the creation of RESTful services and improving data integration in existing systems.> Creation of ER diagrams and logical models to represent data relationships and attributes.> Optimization of SQL queries, significantly improving efficiency and response times in high-volume databases.> Implementation of advanced visualizations with amCharts for graphical representation of data, improving the understanding and analysis of critical information in real time.> Implementation of stored procedures for reconciliation of transactions and commissions from electronic channels, ensuring accuracy and consistency of financial data.

Mar 2019 - Oct 2019
Team & coworkers

Colleagues at Indra

Other employees you can reach at indracompany.com. View company contacts for 38166 employees →

2 education records

Fernando Fonseca Espinoza education

Nivel Avanzado, Inglés

Ice School
FAQ

Frequently asked questions about Fernando Fonseca Espinoza

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What company does Fernando Fonseca Espinoza work for?

Fernando Fonseca Espinoza works for Indra.

What is Fernando Fonseca Espinoza's role at Indra?

Fernando Fonseca Espinoza is listed as Data Engineer at Indra.

Where is Fernando Fonseca Espinoza based?

Fernando Fonseca Espinoza is based in Peru while working with Indra.

What companies has Fernando Fonseca Espinoza worked for?

Fernando Fonseca Espinoza has worked for Indra, Interbank, Bbva In Peru, and Odybank.

Who are Fernando Fonseca Espinoza's colleagues at Indra?

Fernando Fonseca Espinoza's colleagues at Indra include Rafael Torralba Campos, Chacón Rafael, Italo Gana Millar, Jhon Rosas, and Manuel Roda Casas.

How can I contact Fernando Fonseca Espinoza?

You can use AeroLeads to view verified contact signals for Fernando Fonseca Espinoza at Indra, including work email, phone, and LinkedIn data when available.

What schools did Fernando Fonseca Espinoza attend?

Fernando Fonseca Espinoza holds Bachelor'S Degree, Ingeniería De Sistemas from Universidad Nacional Mayor De San Marcos.

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