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Suraj JaiswalData Engineer, Spark, PySpark, Python, SQL
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I am a Data Engineer with 4.5+ years of industry experience, currently working at Adidas and previously at Wipro. I have built and managed production-grade data pipelines, worked with large datasets, and optimized end-to-end data workflows used by real businesses.
As a teacher, I focus on helping students truly understand data engineering and modern AI, not just memorize tools. I teach core concepts like Python, SQL, Spark, PySpark, ETL pipelines, Databricks, Airflow, and cloud-based data systems, and then connect these foundations to real industry use cases.
- In addition to data engineering, I actively work with modern AI systems, including: AI Agents for workflow automation and decision support RAG (Retrieval-Augmented Generation) for combining LLMs with structured data MCP-based architectures to build reliable, modular AI solutions This allows me to guide students toward future-ready Data + AI roles.
- My teaching approach Explain concepts from basics to production level Use practical examples and real project scenarios Focus on problem-solving, clarity, and strong fundamentals Share insights on career paths, interviews, and industry expectations
Whether you are a beginner, student, or working professional, my goal is to help you build clear understanding, confidence, and job-relevant skills through structured and practical learning.
Subjects
SQL Beginner-Expert
PySpark Beginner-Expert
Python and AI Beginner-Expert
AI Agents & Workflows Beginner-Expert
Guidance for career transformation to data engineering Beginner-Expert
Experience
Data Engineer (Jul, 2024–Present) at Adidas
● Data Pipelines with Databricks: Using Databricks as the primary engine to orchestrate and manage data pipelines, transforming and processing large datasets read from AWS S3, ensuring data quality and efficiency. ● Utilized historical sales and operational data to support forecasting decentralization, enabling more accurate, data-driven demand predictions across regions and product segments. ● Developing PySpark UDFs: Creating and optimizing User-Defined Functions (UDFs) in PySpark to enhance data transformation and processing tasks, improving performance and enabling complex data operations. ● Implemented Advanced Data Transformations: Leveraged PySpark and Pandas for sophisticated data manipulation and transformation, contributing to the streamlined preparation and analysis of datasets for actionable insights. ● Collaborating on Sales Forecasting Project: Actively contributing to the SFD (Sales Forecast Decentralization) project by working closely with the data science team, using historical sales data to develop predictive models for future sales trends. ● Optimized Data Processing Workflows: Improved data processing workflows through efficient Spark configurations and optimizations, resulting in reduced processing times and cost savings for the data engineering team.
Data Engineer (Aug, 2021–Jul, 2024) at Wipro, Gurugram
● Extraction, transformation, and Loading (ETL) of customer network data to prepare the Key Performance Indicator (KPI). ● Cell Metrics Anomaly Detection using scripts written in Spark, and PySpark. ● Preparing data as per the custom requirement of the business. ● Subscriber grid level and cell level mapping with IMSI Enrichment of Groundhog data. ● Scheduling and monitoring of jobs/workflows using Apache Airflow. ● Transfer of data from one location to another and from server to server using Apache NiFi. ● Data visualization, interpretation, and understanding using Grafana. ● Batch processing, stream processing, interactive processing, and graph processing using YARN UI (monitoring).
Education
B. Tech in Computer Science and Engineering (Jul, 2017–Jun, 2021) from IMS ENGINEERING COLLEGE,GHAZIABAD–scored 8 CGPA
Fee details
₹600–1,000/hour
(US$6.32–10.53/hour)
Fee Structure: - Recurring classes: ₹600 per hour - One-time / ad-hoc sessions: ₹1000 per hour Fees may vary based on session frequency and requirements.