Hi, I’m
PALOMA GROTE
Dallas,TX
Summary
Passionate and experienced Big Data Engineer with extensive experience in the design, development, and implementation of big data solutions. Proven history of success in building, releasing, and supporting large big data platforms in on-premise and migrating workloads to public and private clouds. Adept at strategic thinking, complex problem-solving, and interpersonal skills to deliver client-focused solutions. Skilled in Big Data Analytics, Data Lake, Data Warehouse, Data Integration, ETL, Data Automation Scripting, Hadoop, Apache Hive, Spark, Cloud Computing, and Agile Methodologies.
Overview
7
years of professional experience
Work History
Allata
Senior Data Engineer
06.2021 - Current
Job overview
- Project CI/CD accelerator
- Accelerated software development lifecycle by designing and building robust and efficient CI/CD solution using Snowflake, Terraform, SchemaChange, and Azure DevOps
- Automated deployment process to Snowflake dev, UAT, and prod databases, while ensuring logical separation and tracking logs for easy rollbacks
- Created pipelines and integrated Terraform to manage infrastructure objects, users, roles, grants, databases, Warehouses, resource monitors, and integrations
- Utilized SchemaChange and DBT to manage Schema-Level Objects such as tables, views, sequences, indexes, functions, and procedures
- Documentation Writing and Presentations:
- Demonstrated ability to write comprehensive technical and user documentation
- Experienced in creating user-friendly presentations and user guides
- Wrote and edited user manuals and other documents for software applications
- Developed and delivered presentations to support technical and user-related topics
- Prepared and maintained technical documentation library with current versioning
- Client – Vontier/Gilbarco Veeder-Root
- Conducted business process data analysis to forecast and improve the supply chain operations of the retail fuel industry, leading to enhanced customer orders, factory capacity, on-time delivery, stock management and improved visibility of blind spots
- Collaborated with architects, product managers, and developers to identify, qualify, and recommend solutions that integrate well with other key business flows, using external and internal partners
- Developed user stories to convert end user business requirements into solutions delivering supply chain analytics on the cloud based platform using Snowflake, Snowsql, Snowpy, and Power BI.
- Developed Snowpipe pipelines to extract, transform, and load (ETL) data from Amazon Simple Storage Service (S3) into Snowflake, with the ability to process different data formats (CSV and JSON). This enabled the creation of a data model.
- Client – Vizient
- Designed and developed a big data analytics platform stack to improve clinical care delivery and performance, providing high-quality, accurate, and transparent data on patient outcomes and enabling hospitals to benchmark against peers while expediting data collection to fulfill agency reporting requirements
- Implemented & coded a clinical solution product using in-memory caching, Spark, Kafka, Calcite, Druid, and Presto
- Responsible for writing the Database solution in Python in Linux/Unix, adhering to coding standards
- Collaborated to reduce technical debt in the code base using tools such as GitHub, JIRA, Confluence, and Jenkins.
DXC INC
BIG DATA ENGINEER
09.2019 - 05.2021
Job overview
- AT&T
- Analyzed AT&T’s network data to develop topologies and insights with big data technologies
- Supported the development of enterprise-to-enterprise incident management platform to predict the root cause of network equipment outages for affected customers
- Migrated AT&T Mobility’s on-premise data warehouses to cloud platforms using Azure data lake, Gen 2 storage, Apache Spark, Palantir technologies
- Gathered and processed raw data at scale into HDFS from various data sources including Oracle database,
- SQL Server, Teradata, Mainframes, CSV and Excel
- Extracted, transformed, staged and loaded data to selected targets in the Hadoop ecosystem
- Built distributed in-memory applications using Spark to do analytics efficiently on huge data sets
- Designed and developed data applications using selected big data tools and frameworks
- Analyzed unstructured and processed data to support business decisions with ad hoc analysis
- Monitored data performance and modified infrastructure to support DevOps requirements
- Collaborated with engineering and QA teams to integrate work into production systems
- Defined data retention policies and governance
- GUI applications development using Spark Java API and used YARN as resource manager
- Involved in preparing design and unit and integration test documents, Analyzed AT&T’s network data to develop topologies and insights with big data technologies
- Supported the development of enterprise-to-enterprise incident management platform to predict the root cause of network equipment outages for affected customers
- Migrated AT&T Mobility’s on-premise data warehouses to cloud platforms using Azure data lake, Gen 2 storage, Apache Spark, Palantir technologies
- Built distributed in-memory applications using Spark to do analytics efficiently on huge data sets.
Hyperdev Technology
BUSINESS ANALYST/Product Development Manager
02.2018 - 08.2019
Job overview
- Executed business development strategies to drive Analytics practice within large enterprise accounts
- Strategized implementation of big data analytics practices in large enterprise accounts
- Assessed and identified areas for organizational growth and development
- Engaged with CXO and VP levels to establish business targets and resource requirements
- Aligned business, product, and technical goals to convey value propositions
- Partnered with subject matter experts and project managers to ensure successful releases
SQL Developer Analyst
06.2016 - 01.2018
Job overview
- Determined traffic supply and demand with taxi system data to connect riders using driver profiles, rider information, and regions
- Developed data analysis algorithms for complex and critical traffic usage
- Designed business intelligence systems, including data warehouse, star schema, ETL pipeline, master data management, application servers, dashboards, and reports.
Education
School of Engineering of Juiz De Fora
Bachelor’s from computer science
FIAP
Bachelor’s from data science
2025
Skills
- TECHNICAL SKILLS
- Snowflake: Cloud-based data warehousing
- Hadoop Distributed File Systems: Distributed storage for large data sets
- Apache Hive: Data processing and analysis system
- Palantir Data Architecture/GUI Platform/Ontology Data Warehousing: Data management and visualization platform
- Azure DevOps: Cloud-based development and deployment platform
- Amazon Web Services: Cloud-based computing platform
- Microsoft Azure: Cloud-based computing platform
- Python: Programming language
- PySpark: Python library for Apache Spark
- SQL: Query language
- SQL Server: Database management system
- VS Code: Source code editor
- Git Code Repository: Version control system
- Apache Spark: Data processing and analytics platform
- Apache Kafka: Data streaming platform
- Terraform: Infrastructure as code platform
- Agile Methodologies: Iterative and incremental software development approach
- Scrum: Agile development framework
- Waterfall Model: Linear software development process
Accomplishments
- AWS Certified Cloud Practitioner – Amazon Web Services
- Intro to Hadoop and MapReduce – Cloudera’s Udacity
- COVID19 Data Analysis Using Python – Coursera
- Explore stock prices with Spark SQL – Coursera
- Snowflake Essentials - Data Sharing
- Snowflake Essentials - Data Warehouse
- Snowflake SnowPRO - Snowflake
Timeline
Senior Data Engineer
Allata
06.2021 - Current
BIG DATA ENGINEER
DXC INC
09.2019 - 05.2021
BUSINESS ANALYST/Product Development Manager
Hyperdev Technology
02.2018 - 08.2019
SQL Developer Analyst
06.2016 - 01.2018
School of Engineering of Juiz De Fora
Bachelor’s from computer science
FIAP
Bachelor’s from data science
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