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Fatemeh Salmani

@fatemehsalmani

Data Engineer at Mercor building batch and streaming pipelines and LLM evaluation workflows with Python, SQL, Spark, and Kafka.

France

Message

At Mercor, I deliver batch and streaming data pipelines and LLM evaluation platforms using Python, SQL, Airflow, Spark, and Kafka. I developed event-processing pipelines with Bronze, Silver, and Gold data layers.

At École des ponts ParisTech, I built an end-to-end ETL pipeline processing more than 6.35 million Paris Vélib availability and weather records. I also developed ingestion workflows with Parquet, Google Cloud Storage, and BigQuery, and trained NLP models including spaCy NER and BERT.

Earlier, at Delante, I developed models for customer conversion and campaign performance, and at Adro Ad Exchange, I analyzed marketing data and developed dashboards to track advertising performance. My work spans data engineering, analytics, and machine learning, with projects including an LLM evaluation and monitoring platform and a luxury retail streaming platform.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer

Current

Mercor

Jan 2026 - Present (9 months)

Delivered batch and streaming data pipelines and LLM evaluation platforms using Python, SQL, Airflow, Spark, and Kafka. Developed Kafka and PySpark pipelines with Bronze, Silver, and Gold data layers, and managed infrastructure with Terraform.

Python SQL Airflow Spark Kafka DBT Terraform CI CD Data Pipelines LLM Evaluation

Data Engineer / Scientist

École des ponts ParisTech

Jan 2024 - Jan 2026 (2 years)

Built an end-to-end ETL data pipeline processing over 6.35 million Paris Vélib availability and weather records. Developed Python ingestion workflows using Parquet, Google Cloud Storage, and BigQuery, and trained NLP models including spaCy NER and BERT.

Python SQL GCP BigQuery Parquet Terraform Looker NLP SpaCy BERT ETL

Data Scientist

Delante

Jan 2020 - Jan 2022 (2 years)

Developed Random Forest and regression models to predict customer conversion and campaign performance. Applied ARIMA time-series and K-Means for forecasting and segmentation, and implemented anomaly detection using Isolation Forest.

Python Machine Learning Random Forest regression ARIMA K Means Isolation Forest Anomaly Detection

Data Analyst

Adro Ad Exchange

Jan 2018 - Jan 2020 (2 years)

Analyzed marketing datasets using SQL, Google BigQuery, and Python to support business performance analysis. Monitored key marketing KPIs and developed Looker Studio dashboards to track advertising performance.

SQL BigQuery Python Looker Data Analysis KPI Monitoring