Senior Data Engineer Support

@AZTURK1

Hi there, I understand you need an experienced Senior Data Engineer to evaluate candidates for Azure + Databricks roles , I have 7+ years running large Spark/PySpark pipelines, designing data models and tuning ETL at scale, so I can rapidly assess Python, Scala and SQL depth and cloud performance trade-offs. - Join 2-hour live interview sessions, craft probing questions and score technical depth (Python, Scala, SQL, Spark/PySpark). - Deliver concise post-interview assessment: strengths, gaps and hire/no-hire recommendation. - Validate answers with quick hands-on checks where possible and provide a rollback/clarification note to avoid false negatives (quality control). Skills: ✅ Python ✅ Scala ✅ SQL ✅ Azure / Databricks ✅ ETL orchestration & performance tuning Certificates: ✅ Microsoft® Certified: MCSA | MCSE | MCT ✅ cPanel® & WHM Certified CWSA-2 I’m available for two focused hours each weekday, ready to start after you share the schedule. Which timezone will interviews be scheduled in, and will I have access to candidate code samples or a read-only Databricks workspace during interviews? Best regards,

@vasudharao9

Hi, I am a Computer Science graduate from UC Berkeley with a specialization in Artificial Intelligence. I have more than 10 years of experience working in the AI/ML space and can help you with this project. Message me to discuss this further. Thanks

@sankargan88

Hi, I read your requirement and i can you to take interview for your requirement and can share the feedback report against each candidate. Let me know the timings and we can discuss further in the chat and i am fine with the compensation. Ping me to start the discussion.

@pavels57

I can support your interview loop as a practical senior data engineer: structured question bank for Python/SQL/Scala + Azure/Databricks, live technical evaluation, and concise hire/no-hire reports after each session. I focus on real production indicators (Spark/ETL/data modeling/performance tuning) and can keep feedback consistent, fast, and decision-ready for your hiring team.

@MarcKanani

certified on Hadoop and Cloud GCP data engineer , 10 years experiences working with Cloudera , Google Cloud , python development

@naga1121

I have around 20 years of experience in data analysis including onsite experience of 10 years (USA). I believe I would be a great fit for this position.

@karthikrajak7

Hi, I’m a Senior Data Engineer with 8+ years of hands-on experience across Azure and Databricks, regularly involved in technical interviewing and candidate evaluation. I’ve assessed engineers on Python, SQL, Spark/PySpark, data modeling, ETL orchestration, and performance tuning, with a strong focus on real-world problem solving over theoretical answers. I’m comfortable crafting probing, scenario-based questions, joining live interviews, and quickly identifying depth vs surface-level knowledge—especially around Spark optimization, scalable architecture, and cloud design trade-offs. I can provide clear, concise written feedback with hire/no-hire recommendations immediately after sessions.

@tagorer7

I had 1.8 years of experience working as a specialist programmer at Infosys. There i got trained on Data Science.

@sajal0712

I am interested in supporting your hiring round as a Senior Data Engineering Interview Evaluator. My experience with large-scale data processing enables me to assess candidates on practical areas such as ETL orchestration, data modeling, distributed processing, and performance optimization in Azure-based environments. My core competencies include Azure Data Factory, Azure Databricks, Python, and SQL, and I have worked on designing scalable data pipelines and Spark-based data processing workflows. I hold certifications including AZ-900 (Microsoft Azure Fundamentals) along with other data and Databricks certifications, reflecting my commitment to staying current with modern data engineering technologies. During interviews, I can craft targeted technical questions and evaluate candidates across Python, Scala, SQL, and Spark/PySpark concepts within Azure and Databricks environments. After each session, I will provide concise written feedback outlining technical strengths, gaps, and a clear hire/no-hire recommendation. I am available for the two-hour weekday commitment and can ensure consistent participation and quick turnaround on evaluation reports. I look forward to contributing my analytical, logical, and technical skills to support an efficient and objective hiring process. Sincerely, Sajal Agrawal

@maheshkundrapu16

Hello, I would be glad to support your technical interview process. I bring over 11 years of software engineering experience, including 9+ years working as a Data Engineer with Azure, Databricks, Python, Spark/PySpark, and SQL in large-scale data environments. In my current role, I regularly design and optimize distributed data pipelines, review complex Spark jobs, and work with large datasets in cloud environments. Because of this hands-on experience, I can effectively evaluate candidates on practical skills such as data modeling, ETL design, Spark optimization, and real-world problem solving rather than just theoretical knowledge. I am comfortable leading technical discussions, asking targeted questions to assess depth of understanding in Python, Scala, SQL, and distributed systems, and identifying whether candidates truly have production-level experience. I can also provide structured feedback after each interview highlighting strengths, gaps, and clear hire/no-hire recommendations. Your requirement of roughly two hours per weekday works well for me, and I value maintaining consistency and fast turnaround for evaluation reports. I would be happy to help ensure that only strong and capable data engineering candidates move forward in your hiring process. Best regards, Mahesh Kundrapu

@Pavansudula

I am working as a Senior Data Engineer at Chryselys. I have strong expertise in SQL, PySpark, and Python, and I am also a Databricks Certified Engineer. My skills and experience align well with this profile, and I enjoy working on challenging data engineering problems. If you would like to discuss opportunities or collaborate, please feel free to contact me at 6304572145.

@raktimsarma444

Hello, I’m interested in working on your project. I have experience in web development using React, JavaScript, HTML, CSS, and modern frameworks. I focus on writing clean code, responsive design, and delivering high-quality work on time. I have built projects such as a personal portfolio website and other web applications, so I’m confident I can complete your requirements efficiently. I am reliable, communicative, and always open to feedback to make sure the final result matches exactly what you need. Looking forward to working with you. Best regards, Raktim

@akankshav91

Hello, I am a data engineer with strong experience in SQL, ETL development and cloud based data platforms. have hands on experience working with large scale data pipelines, data modeling and performance optimization in modern data engineering environments. I have been actively involved in technical discussions , problem solving, and evaluating data engineering solutions which allows me to assess candidates effectively during interview. I am comfortable reviewing candidates understanding of SQL, Python concepts, ETL architecture and data pipeline design. I can also evaluate their approach to performance tuning and data modeling and scalable data processing. I would be happy to support your hiring process and help identify strong data engineering talent. Looking forward to working with you.