Sujoy Das — Data Engineer
As a Data Engineer at Larsen & Toubro, I delivered data solutions within the Microsoft Azure ecosystem, using my strong problem-solving skills and solid technical foundation. I developed and implemented Azure Data Factory pipelines to automate data ingestion from four project sites, defined and ensured data quality checks, cleaned and joined diverse datasets using Azure Databricks, and loaded final data into SQL Database for access by data analysts. These data-driven solutions yielded impressive results, such as a 50% increase in receivables, a 40% faster project execution, and a 40% improved data analysis workflow. I hold a Master's in Big Data Analytics from Trendy Tech. My education background and proficiency in Python, SQL, and PySpark equip me to navigate the world of Big Data technologies and cloud solutions. I'm adept at data ingestion, transformation, and analysis using tools like Azure Data Lake, Databricks, Data Factory, and Synapse Analytics. I have an extensive knowledge in Lakehouse Fundamentals, Delta Lake optimizations, and Data Warehousing principles. In addition to Azure, I have hands-on experience in Microsoft SQL Server, Postgresql and MySQL Database Management Systems, as well as Hadoop Technologies like HDFS, Apache Spark, and Apache Hive. I also have knowledge of Business Intelligence (BI) and how to apply them to various data scenarios. I'm passionate about building business-driven solutions that seamlessly connect data and business needs, and I'm always eager to learn new technologies and skills. I'm seeking Data Engineer or Big Data Cloud Developer roles that challenge and utilize my diverse skills across the ETL pipeline, and that align with my values of innovation, collaboration, and ethics.
Stackforce AI infers this person is a Data Engineering specialist in the SaaS industry.
Location: Bengaluru, Karnataka, India
Experience: 4 yrs 4 mos
Skills
- Data Engineering
- Data Migration
- Etl
Career Highlights
- Achieved 50% increase in receivables through data solutions.
- Implemented Azure Data Factory pipelines for automated data ingestion.
- Led migration of big data workloads to Azure Databricks.
Work Experience
Arthya Tech Solutions Private Limited - Schreiber ICC
Data Engineer (2 yrs)
Freelance
Data Engineer (1 yr)
Larsen & Toubro
Data Engineer (4 mos)
Senior Engineer (1 yr)
KidAptivity Technologies
Mathematics Tutor (3 mos)
Internshala
Campus Ambassador (2 mos)
Education
Master of Technology - MTech at Indian Institute of Technology, Delhi
Masters at TrendyTech
Bachelor of Technology - BTech at Techno Main - Salt Lake