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Chart your path to success in the evolving world of data engineering with the Data Engineer Roadmap 2025. Designed for aspiring data engineers and seasoned professionals alike, this comprehensive guide will equip you with the skills and knowledge to excel in a rapidly changing industry.

I’m a Senior Data Engineer with over a decade of experience in product development and the full software development life cycle. From building batch and streaming data pipelines to implementing machine learning and deep learning solutions, I bring extensive expertise to help you master the complexities of data engineering.

In the Data Engineer Roadmap 2025, you’ll gain insights on:

Essential Technical Skills: Grasp core data engineering concepts including data structures, algorithms, and problem-solving techniques.
Proficient Programming: Learn to code in languages like Python, Golang, C++, and understand Linux Shell Scripting.
Data Analysis & Visualization: Harness the power of Pandas, NumPy, SciPy, and Matplotlib for robust data analysis and visualization.
Database Management: Master databases such as MySQL, ElasticSearch, Cassandra, Kafka Connect, and Prometheus for efficient data handling.
Big Data Technologies: Get hands-on experience with big data frameworks like Apache Hadoop, Apache Spark, and PySpark.
Cloud Platforms: Explore AWS and GCP services including S3, EMR, Lambda, BigQuery, Redshift, Athena, Glue, and many more.
Data Pipeline Construction: Learn to build effective batch and streaming data pipelines for real-time data consumption, reporting, and dashboarding.

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Join now and take the first step towards defining your data engineering career for 2025 and beyond.

2f:T6ea,

Feeling overwhelmed with your career choices, or facing roadblocks that are keeping you from moving forward? Let’s turn confusion into clarity together. With over a decade of experience in Product Development and currently working as a Senior Data Engineer, I bring a wealth of industry knowledge to guide you on your professional journey.

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Your guidance will cover:

Software Development Life Cycle
Big Data Technologies (Batch & Streaming Data Pipelines)
Programming Languages (Python, Golang, C++, and more)
Data Analysis Tools (Pandas, NumPy, SciPy)
Complex System Design and Architecture
Tools and Technologies for Web Development, Data Warehousing, and Cloud Services (AWS, GCP)

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1:1 Mentorship for Software Engineer with Chandan Singh

Chandan Singh

1:1 Mentorship for Software Engineer

About this session