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PROFESSIONAL • PYSPARK & SQL

Production Data Engineering

Level up to production data engineering across 50 challenges. Master analytical window functions (dense_rank, lag, lead), schema validation assertions, multi-table join pipelines, SCD Type 1 & 2 dimensions, CDC reconciliation, and enterprise data quality.

50Challenges
•
30 minPer Challenge
•
10–30 XPReward
•
790 XPTotal Points
•
ProfessionalTier
•
100% FreeAccess

Curriculum Track

Data Validation & Transformations

Course Progress0%
0 of 50 Solved⭐ 0 XP
○Arithmetic & Column Derivation0/1
○Conditional Logic & Categorization0/1
○String Cleansing & Standardization0/1
○Date & Time Functions0/1
○Multi-Condition Filtering & Risk Analysis0/1
○Temporal Filtering & Event Analysis0/1
○Data Cleansing & Null Safety0/1
○End-to-End Pipeline Transformations0/1
○Multi-Metric Grouped Aggregation0/1
○Post-Aggregation Group Qualification0/1
○Multi-Stage Transformation Pipeline0/1
○Relational Data Integration0/1
○Relational Attribute Enrichment0/1
○Multi-Source Dimensional Resolution0/1
○Multi-Stage Surveillance Pipeline0/1
○Relational Integrity & Complex Joins0/1
○Temporal Analytics & Pipeline Integration0/4
○Incremental Data & Upserts0/8
○Slowly Changing Dimensions0/2
○Change Data Capture0/5
○Temporal Analytics0/3
○Event Analytics0/1
○Session Analytics0/1
○Multi-Source Precedence & Entity Resolution0/1
○Data Quality & Validation Pipelines0/1
○Incremental Feed Reconciliation0/1
○Financial & Revenue Reconciliation0/1
○Customer 360 Pipeline Synthesis0/1
○Advanced Event Analytics & Sessionization0/1
○Incremental ETL & State Consolidation0/1
○Change Data Capture (CDC) & Master Data Management0/1
○Data Quality & Financial Reconciliation0/1
○Enterprise Data Platform Capstone0/1
50 Challenges
500 Max XP
Difficulty:
Showing 50 of 50

Conditional Logic & Categorization

PySpark challenge topic

1 Challenges15 XP
PY-052:Customer Lifetime Value Segmentation•Intermediate•15 XP•30 min•PySpark + SQL
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Multi-Condition Filtering & Risk Analysis

PySpark challenge topic

1 Challenges15 XP
PY-055:Financial Risk Anomaly Surveillance•Intermediate•15 XP•30 min•PySpark + SQL
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End-to-End Pipeline Transformations

PySpark challenge topic

1 Challenges15 XP
PY-058:Commercial Sales Performance Summary•Intermediate•15 XP•30 min•PySpark + SQL
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Post-Aggregation Group Qualification

PySpark challenge topic

1 Challenges15 XP
PY-060:Logistics Freight Carrier Capacity Qualification•Intermediate•15 XP•30 min•PySpark + SQL
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Relational Integrity & Complex Joins

Detect foreign key violations via left anti joins, perform broadcast lookups with null fallback, and resolve duplicates.

4 Challenges40 XP
PY-066:Relational Enrichment with Department Metadata Join•Intermediate•10 XP•30 min•PySpark + SQL
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Multi-Source Precedence & Entity Resolution

PySpark challenge topic

1 Challenges15 XP
PY-091:Multi-Source Customer Consolidation•Intermediate•15 XP•30 min•PySpark + SQL
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Data Quality & Validation Pipelines

PySpark challenge topic

1 Challenges15 XP
PY-092:Data Quality Quarantine Pipeline•Intermediate•15 XP•30 min•PySpark + SQL
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Incremental Feed Reconciliation

PySpark challenge topic

1 Challenges15 XP
PY-093:Incremental Order Pipeline•Advanced•15 XP•30 min•PySpark + SQL
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Financial & Revenue Reconciliation

PySpark challenge topic

1 Challenges15 XP
PY-094:Daily Revenue Reconciliation•Advanced•15 XP•30 min•PySpark + SQL
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Customer 360 Pipeline Synthesis

PySpark challenge topic

1 Challenges20 XP
PY-095:Production Customer 360 Pipeline•Advanced•20 XP•30 min•PySpark + SQL
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Change Data Capture (CDC) & Master Data Management

PySpark challenge topic

1 Challenges25 XP
PY-098:CDC-Based Customer Master Reconciliation Pipeline•Advanced•25 XP•30 min•PySpark + SQL
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