India, known as a popular manufacturing hub, has grown its domestic electronics production from US$ 29 billion in 2014-15 to US$ 67 billion in 2020-21. The electronics sector in India contributes around 3.4% of the country's Gross Domestic Product (GDP).
Supplier: Our group of companies includes:
fruits, vegetables, frozen fruits, frozen vegetables, juices, herbs and spices. charcoal.
dry beans, white beans, sesame, peanuts.
off lease/used computers, laptops and screens in bulk.
exporter of fresh fruits and vegetables, juices, concentrates, jams, halawa, tahina
towels and bed sheets, duvet covers.
Buyer: Newsprint paper, coffee, tuna, short grained rice.
Supplier: Computer hardware, laptops and cell phones
Services:
Buyer: Computer hardware
Supplier: White Cement, White Clinkers, Petroleum Products, Urea, Electronics, Camera And Printers, Organic Waste Treatment Products ( Antizyme Eco Enzyme Bacteria, To Avoid The Blockage And Avoid The Bad Smell From The Wastage Area )
Buyer: Photographic camera, printers, gaming consoles etc
Supplier: Products, including medical equipment, consumable/material, auto parts, hardware, computer related products, wooden furniture, glassware, chinaware, clothing, hardware, aluminum, tea and poplar
Services: Trading, manufacturing
Buyer: Spices
Supplier: Automation Items
Services: Trading.
Buyer: Automation Items
Supplier: Wireless charger, batteries power bank, dust sensor, optical disc drive, tof, lidar, ar glass
We are having a team of Talented Software experts , who can handle the following and deliver the project within the stipulated time . Please find our expertise mentioned below : More than 5 years of experience concentrated on implementing BI, Analytics, IoT and Machine learning solutions on Big Data platforms including large scale data lake systems. Experienced in Real Time Data Ingestion, Processing and Fraud Analytics. Development experience in Hadoop ,Spark, Flink, Kafka, ActiveMQ, Apache Camel, Eventhub, Stream Analytics. Thorough understanding of big data technologies like Spark, M/R, Hive, Tez, HBase,Cassandra, Sqoop, Apache Nifi , etc. Implemented Data Lake Accelerators for Batch and Stream Processing for AWS,Azure and On premise Systems Implemented Real time analytics and big data processing for the Internet of Things from Sensor Data of Largest Electrical Instruments Manufacturer. (Client Data Migration to AWS and Azure) Extensive experience in Teradata, Informatica Power Center, Informatica Big Data Edition and Intelligent Data Lake Developing advance Business Intelligence reports using Tableau, Qlik Sense, Power BI.