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Florencia Parancan

@florenciaparancan

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AI & Data Engineer at Clippers Barbería building Databricks pipelines and RAG solutions.

Argentina

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At Clippers Barbería, I designed and implemented an end-to-end data pipeline for analytical use, with Python, PySpark, SQL, Databricks, and Delta Lake. I also introduced data quality checks and incremental processing with MERGE/UPSERT.

I previously worked as a Lead Data Analyst at Clippers Barbería, where I developed ETL processes and controls that reduced processing errors by approximately 40%. In my RAG & AI Agent project, I experimented with SQL Server 2025, embeddings, and vector search, integrating an n8n workflow with Telegram.

Experience

Work history, roles, and key accomplishments

Current

Data Engineering & Analytics

Current

Clippers Barbería

Aug 2026 - Present (3 months)

Designed and implemented an end-to-end data pipeline to ingest, transform, validate and make data available for analytical consumption. Developed data transformations using Python, PySpark, SQL and Databricks within a Medallion Architecture using Delta Lake.

Python PySpark SQL Databricks Delta Lake Medallion Architecture Data Quality Data Validation Data Profiling MERGE UPSERT Databricks Workflows

Lead Data Analyst

Clippers Barbería

Dec 2025 - Jul 2026 (7 months)

Designed and developed ETL processes to integrate, clean and transform monthly datasets using data workflows. Implemented validation rules and data quality controls that reduced processing errors by approximately 40%.

ETL Data Quality Power Query Excel Data Analysis

Security & Operations Supervisor

Avarn Security Group

Feb 2018 - Nov 2024 (6 years 9 months)

Produced operational reports and analyzed digital records, ensuring data integrity and traceability. Supervised operational processes and collaborated with multicultural teams in an international environment.

Data Analysis Reporting Supervision Data Integrity