Data Engineering Course Creation

@AZTURK1

Hi there, I will convert your 15-week Data Engineering syllabus into recorded, coding-first lectures covering PostgreSQL, Snowflake, dbt, Airflow, PySpark and Kafka, with beginner-friendly labs and screen demos. - Deliver 3 recorded trial lectures (≈60 min each) with live coding, screen recording and slides focusing on SQL foundations and PySpark examples - Provide runnable code samples, lab walkthroughs, curated datasets and a GitHub repo with Dockerized demos and CI/CD snippets - If trial is accepted, produce a staged plan to complete remaining 44 lectures in batches with milestones - staged delivery with post-fix validation Skills: ✅ Snowflake ✅ PostgreSQL ✅ dbt ✅ cost tuning ✅ Docker Certificates: ✅ Microsoft® Certified: MCSA | MCSE | MCT ✅ cPanel® & WHM Certified CWSA-2 Available to start immediately. For the 2–3 trial lectures, would you prefer demos built on Snowflake or BigQuery as the primary cloud warehouse? Quoted: ₹9000 , delivery: 1 day.

@mykhaylob4

✋ Hi there. I can create those 47 recorded video lectures covering your entire data engineering curriculum. ✔️ I have 5 years of hands-on data engineering experience and have taught workshops on Airflow, dbt, and Snowflake at tech conferences. I will deliver each lecture with live coding, screen recording, and ready-to-run lab files. I will structure every session to start from fundamentals and build into production-grade patterns, following your syllabus and learning outcomes exactly. Please click the 'Chat' button to start our valuable conversation. Looking forward to collaborating with you! Best regards, Mykhaylo

@nutankumarftp

As an experienced full stack developer, I bring a unique blend of skills that make me the ideal candidate for your Data Engineering Course Creation project. In addition to my proficiency in Python and SQL - the core languages necessary for this task, I have extensive experience with PostgreSQL, a skill essential to your desired curriculum. My adeptness with the Linux environment and understanding of Git will ensure smooth course creation and delivery. While my background is more focused on application development, I have frequently utilized my comprehensive knowledge of Cloud Computing and infrastructure management when designing and implementing sophisticated data pipelines, similar to what you're looking for with BigQuery, Snowflake Schemas, dbt, etc. What sets me apart is not just technical prowess, but my ability to make complex data engineering topics understandable and engaging for beginners. I believe this skill is enhanced by partner

@saifali012

Hi, I understand the challenge here is not creating curriculum content — it is turning an already finalized Data Engineering syllabus into engaging, production-quality lectures that keep beginners engaged while still teaching real-world engineering practices and hands-on implementation. I can deliver structured recorded lectures with live coding, clear explanations, lab walkthroughs, and reusable assets built around real Data Engineering workflows. My approach covers Python, SQL, PostgreSQL, Cloud Computing concepts, BigQuery, Snowflake, PySpark, Apache Spark, workflow orchestration, data modeling, and practical end-to-end pipelines so students move from fundamentals to deployment with confidence. One quick question: do you already have a preferred lecture format/template (slides → demo → lab), or should I propose a standardized structure for all 47 lectures? Open chat now and let’s discuss the project requirements in detail.

@shrutig1904

Hello, I am interested in assisting with the creation of your Data Engineering course. I have hands-on experience with SQL, Python, data analysis, data visualization, and database concepts through academic and project work. I have also developed projects involving data processing, analytics dashboards, and database management. I can help create well-structured course content with clear learning objectives, practical exercises, quizzes, assignments, and real-world examples. My focus is on making technical concepts easy to understand for beginners and intermediate learners while maintaining industry relevance. Key topics I can contribute to include: • SQL and Database Fundamentals • Data Processing and ETL Concepts • Python for Data Engineering • Data Analysis and Visualization • Data Warehousing Basics • Hands-on Projects and Assessments I am detail-oriented, committed to quality, and open to feedback throughout the course development process. I would be happy to discuss your requirements and share details of my relevant projects. Thank you for your consideration. Best regards, Shruti

@shubhamm281

Hello, I am a Data Analyst with experience in Python, SQL, PostgreSQL, Data Modeling, ETL processes, Power BI, Tableau, Git, Linux, and data pipeline development. I have 1 year of professional experience at Finsys and a strong ability to explain technical concepts in a simple, beginner-friendly manner.

@jabulanix

We've just completed a similar project, helping someone achieve their educational objectives successfully. With our professional and reliable solution, we can assist you in creating high-quality recorded video lectures for your Data Engineering course curriculum. I have a wealth of experience in completing projects outside Freelancer.com and am currently offering discounted rates to build my reputation here. Payment is only required if the final work aligns with the agreed scope and requirements. I'd love to chat about your project! The worst that can happen is you walk away with a free consultation. Regards, Jabu.

@markrowset

This is exactly the stack I work with daily — Python, SQL, PostgreSQL, dbt, Airflow, PySpark, Kafka, Docker, BigQuery, and Snowflake. I can teach this at depth, not just demo it. A couple of honest questions before I commit to the full 47 lectures: 1. Is the posted budget for the full course, or is there room to structure this per-lecture or per-milestone? 47 x 60-min recorded lectures is a substantial production commitment and I want to make sure we're aligned on scope before starting. 2. Do you have a preferred recording setup/template, or is that up to me? 3. Code samples as Jupyter notebooks or standalone scripts? I'd suggest a 2-3 lecture pilot first — you evaluate my teaching style and technical depth, and we agree on a fair rate for the remaining 44. Zero risk for you, clean start for both. Available this week.

@karthikresonite

Hello, Resonite Technologies has a team of experienced Data Engineers and Technical Trainers with expertise in building enterprise-scale data platforms and delivering structured technical training. ✅ 10+ years of combined Data Engineering experience ✅ Course creation, technical documentation, and recorded training delivery ✅ Hands-on expertise in Python, SQL, PostgreSQL, BigQuery, Snowflake, dbt, Airflow, PySpark, Kafka, Docker, Terraform, Azure Data Factory, and CI/CD ✅ Beginner-friendly teaching approach with real-world project examples Our Strength Areas • Data Warehousing & Modeling • ELT/ETL Pipelines (dbt, Airflow) • Big Data Processing (PySpark) • Streaming Architectures (Kafka, Spark Streaming) • Cloud Data Platforms (BigQuery, Snowflake) • DevOps for Data Engineering Delivery Approach • HD video lectures with live coding • Hands-on lab walkthroughs • Supporting slides, datasets, and source code • Capstone project implementation • Consistent structure across all 47 lectures Availability: 25–30 hours/week Estimated Timeline: 8–10 Weeks for all 47 lectures, including labs and supporting materials. We are open to starting with the requested 2–3 lecture trial and demonstrating content quality before proceeding with the full curriculum. Best Regards, Resonite Technologies

@hariatrry123

I can help you plan and prepare everything needed for a strong course production, including: detailed lecture outlines for each of the 47 topics slide decks and speaking scripts lab guides, code samples, and dataset generation module sequencing, learning objectives, and hands-on walkthroughs content mapping to your syllabus, including BigQuery, Snowflake, dbt, Airflow, PySpark, Kafka, Docker, Terraform, ADF a polished project proposal, timeline, and asset checklist

@MohammadkarimKz

I have more than 5 years extensive experience in software developing in software companies. I have spirit of collaborative, cooperative and team-work and I 'm easy learner.