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#Looking for referrers

Looking for a referral for Senior Data Engineer role in Product based company

Anonymous author | 5mon

Senior Data Engineer with 5.5 years of experience in the Big data Domain and demonstrated history of working in Accion Labs. Solved data mysteries for different domains like Tobacco, Pharmaceutical, Retail, and Employee Services. Have designed scalable & optimized data pipelines to handle Petabytes of data, in Batch & Real-Time. Strongly optimistic & always trying to work to the best of my abilities along with great zeal and enthusiasm, possess a strong sense of ownership of my work. I'm a fast learner and can adjust to different technologies quickly. Demonstrated Success Record in => Analyzing Business requirements, Creating Solution Architecture, High-Level Design, Low-level design, and data models for New and migration projects for Hadoop Ecosystem. => Leveraging the strong techno-functional experience and expertise to build trust with both business and IT stakeholders around process and systems issues and challenges. => Excellent communication and team-building skills, communicating solutions to users and executives at all levels of technical proficiency. => Delegation, Leadership skills. ◆ My Technologies • Very Strong Programming Languages: Python, Scala • Big Data Framework: Spark, Hadoop, Mapreduce, Hive, Spark Streaming, Kafka, and Airflow. • Database: SQL Server, MySQL, Azure SQL Data Warehouse • Streaming Ingestion Tools: Azure Event Hubs, Kafka • Microservices: Kubernetes, Docker • Orchestration Tool: Azure Data Factory • Operating Systems: Windows, Linux-based Operating Systems like Ubuntu • Cloud: Azure, Google cloud platform, and AWS. Lets Connect Email-theabhisingh34@gmail.com
authorIconAbout Author
authorIconAccionlabs
authorIcon5 year(s)
authorIconPreferred location(s)
Bangalore
Hyderabad/ Seconderabad
Pune
Remote
Abroad
Delhi/ Gurgaon/ Noida
authorIconMain skills
Spark, Scala, Hive, Hadoop,gcp
ETL, Spark, AWS, Data Vault 2
Pyspark Azure data factory
authorIconSub skills
Spark, Scala, Hive, Hadoop,gcp
Docker kubernetes Linux shell
Azure
GCP (Google Cloud Platform)
AWS
MySQL
Nosql
PLSQL
Spark sql
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