apache/spark
May 2025 – Oct 2025
4 Months active
Languages Used
ScalaPythonShell
Technical Skills
Data ProcessingSQLSparkStreamingData EngineeringScala
anishm-db
PROFILE
Anishm-db
Anish Mahto contributed to the apache/spark repository by building foundational SQL syntax support for Spark declarative pipelines, enabling new commands such as CREATE MATERIALIZED VIEW and CREATE STREAMING TABLE. He implemented parsing logic and logical plan updates in Scala and Python, laying the groundwork for SQL-driven pipeline features. Anish also enhanced data integrity by validating streaming and batch data sources, and improved maintainability through clear, traceable commits. He addressed cross-environment CLI reliability in PySpark using dynamic path resolution in Shell and Python, and propagated source code locations for better debugging, demonstrating depth in data engineering, debugging, and software development.
Overall Statistics
Feature vs Bugs
60%Features
Repository Contributions
5Total
Bugs
2
Commits
5
Features
3
Lines of code
4,412
Activity Months4
Your Network
524 people
Work History
October 2025
1 Commits • 1 Features
Oct 1, 2025October 2025 Monthly Summary for apache/spark focusing on feature delivery and debugging improvements in Declarative Pipelines.
1 Commits • 1 Features
Oct 1, 2025October 2025 Monthly Summary for apache/spark focusing on feature delivery and debugging improvements in Declarative Pipelines.
October 2025
September 2025
1 Commits
Sep 1, 2025September 2025 monthly summary: Focused on stabilizing the spark-pipelines CLI across PySpark install methods. Resolved dynamic cli.py path resolution to prevent incorrect CLI execution and improve environment compatibility.
September 2025
1 Commits
Sep 1, 2025September 2025 monthly summary: Focused on stabilizing the spark-pipelines CLI across PySpark install methods. Resolved dynamic cli.py path resolution to prevent incorrect CLI execution and improve environment compatibility.
June 2025
2 Commits • 1 Features
Jun 1, 2025June 2025 performance snapshot for apache/spark focusing on Spark Declarative Pipeline (SDP) enhancements and data integrity improvements.
2 Commits • 1 Features
Jun 1, 2025June 2025 performance snapshot for apache/spark focusing on Spark Declarative Pipeline (SDP) enhancements and data integrity improvements.
June 2025
May 2025
1 Commits • 1 Features
May 1, 2025Month: 2025-05 — Delivered foundational SQL syntax support for Spark declarative pipelines within apache/spark. Implemented parsing for new SQL commands (CREATE MATERIALIZED VIEW, CREATE STREAMING TABLE, CREATE FLOW) and integrated updates to the logical plan to enable future execution steps via Spark's query engine. This work lays the groundwork for a more expressive SQL-driven pipeline feature.
May 2025
1 Commits • 1 Features
May 1, 2025Month: 2025-05 — Delivered foundational SQL syntax support for Spark declarative pipelines within apache/spark. Implemented parsing for new SQL commands (CREATE MATERIALIZED VIEW, CREATE STREAMING TABLE, CREATE FLOW) and integrated updates to the logical plan to enable future execution steps via Spark's query engine. This work lays the groundwork for a more expressive SQL-driven pipeline feature.
Activity
Loading activity data...
Quality Metrics
Correctness96.0%
Maintainability80.0%
Architecture96.0%
Performance80.0%
AI Usage28.0%
Skills & Technologies
Programming Languages
PythonScalaShell
Technical Skills
Data EngineeringData ProcessingDebuggingPythonPython DevelopmentSQLScalaScala DevelopmentShell ScriptingSoftware DevelopmentSparkStreamingbatch processingdata processingstreaming data
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline