Sfoglia categorie
Esplora
Fiverr Pro
Italiano
$
USD
Subash
@subash52
Level 1
Building Reliable Data Solutions
India
Inglese
Chi sono
Senior Data Engineer | SQL Server | Snowflake | Microsoft Fabric | ADF | Databricks | SSIS | SSRS
I'm a Senior Data Engineer with 13+ years of experience building ETL/ELT pipelines, data warehouses, and BI solutions. I specialize in SQL Server, Microsoft Fabric, Azure Data Factory, Databricks, Snowflake, PySpark, Python, and C#. I help businesses automate data workflows, optimize SQL performance, modernize legacy ETL processes, design scalable data platforms, develop SSRS reports, and deliver reliable, high-performance solutions for reporting, analytics, and cloud data engineering.
Competenze
Subash
35 USD/ora
offline •
Tempo di risposta medio: 2 ore
Consulta i miei servizi
Data engineer
I will fix ssis package errors and optimize etl performance
Report
I will develop ssrs reports and sql server reporting solutions
Vuoi lavorare su base oraria?
Spiega a Subash cosa ti serve.
35 USD
/
ora75 Recensioni
| (75) | ||
| (0) | ||
| (0) | ||
| (0) | ||
| (0) |
Valutazione dettagliata
- Livello di comunicazione del venditore
- Qualità della consegna
- Valore della consegna
1-5 di 75 recensioni
Ordina per
Più rilevante
jerr33
Stati Uniti
Utile?
bro21243
Stati Uniti
Collaborazione in corso
Working with Sam was an outstanding experience! Their professionalism and attention to detail not only met but EXCEEDED my expectations. Sam's deep understanding and willingness to go above and beyond made the collaboration so smooth—truly a top-notch Data Engineer 🙌.
Utile?
bro21243
Stati Uniti
Collaborazione in corso
Utile?
bro21243
Stati Uniti
Collaborazione in corso
Sam delivered TOP-NOTCH work with impressive professionalism in data engineering. His quick responsiveness and proactive communication made the collaboration seamless, complemented by timely delivery. Truly a pleasure to work with! 👏
Utile?
selialem
Stati Uniti
Excellent service, very responsive and he provides high quality services. I will recommend.
Utile?
