Analytics Engineer / BI Developer / Data Analyst - call it what you want, I just like making data make sense 📊
I enjoy working across the full analytics stack: from wrangling data in Fabric pipelines and writing T-SQL or PySpark to crafting visuals in Power BI and pushing the limits of what BI tools can actually do.
Outside of work I build random things for the fun of it 🤓 web scrapers, economic and social data viz projects, automation tools, sports analytics and whatever data-related idea manages to survive my morning coffee. Some of it ends up here.
⚙️ Data Engineering
📊 BI & Visualisation
🧰 Environment & Dev Tools
📚 Currently Learning
from pyspark.sql import SparkSession
from pyspark.sql.functions import lit, concat
spark = SparkSession.builder.appName("Irinel").getOrCreate()
me = spark.createDataFrame([{
"name": "Irinel Cristea",
"role": "Analytics Engineer / BI Developer",
"stack": "MS Fabric · Power BI · PySpark · SQL",
"building": "pipelines by day, weird charts by night",
"motto": "clean data, good vibes, questionable chart choices"
}])
me.show(truncate=False)+----------------+----------------------------------+--------------------------------------+------------------------------------------+-----------------------------------------------------+
|name |role |stack |building |motto |
+----------------+----------------------------------+--------------------------------------+------------------------------------------+-----------------------------------------------------+
|Irinel Cristea |Analytics Engineer / BI Developer |MS Fabric · Power BI · PySpark · SQL |pipelines by day, weird charts by night |clean data, good vibes, questionable chart choices |
+----------------+----------------------------------+--------------------------------------+------------------------------------------+-----------------------------------------------------+
