Big Data Job Transformations

Hi there, I have been using spark and amazon sagemaker at enterprise level for over 2 years. While I was working on ‘demand forecasting’ problem for a Canadian super chain from our organization, I used spark extensively, which enabled the sales department to exceed the targets for the three consecutive months (by 13%, 9% and 10% respectively). I have expertise in Koalas API too, which is specific to Databricks environment. Furthermore, I have a solid experience in managing big data as a Hadoop Admin. If you are looking for a freelancer with a broad skill set, minimal oversight, and ownership mentality, drop me a line. Regards, Manohar Karanth

Experienced of 10+ years in IT with 5+ years working experience in big data , Machine learning and AI related technologies . Strong understanding on infrastructure , algorithm and coding . Lead & deliver multiple ML and big data projects end-to-end effortlessly . Final quote will be share after getting complete requirement .

I have total 6 years of experience in Software development. I have strong development skills in building data transformation rules using Scala - Apache spark to cleanse data also usage of Py-spark. Good knowledge in AWS services Glue, lambda, S3.

As a professional in Big Data, I love helping companies to power up their business solutions through Data Engineering, Data Analytics, and Data Sciences to improve their management platforms, build scalable applications and save costs. I do this by using methodologies to promote the development of creative ideas and projects based on data management (Design Thinking, CRISP-DM) as well as the knowledge I have collected in my experiences as an IT developer (5+ years of experience working for different kinds of End-to-End projects in banks, telecommunications brands, and universities). I want to help organizations in creating new business models, where they can support their products based on the competitive advantages created by data, in the exponential way that the world is demanding. SKILLS: • Java. • Python. • Hadoop Ecosystem. • Data Analysis. • ML Modeling. • Apache Spark. • Apache Storm. • Big Data Architecture. • Workflow Design (Oozie, Airflow). • Apache Flume. • NoSQL (HBase, Cassandra, MongoDB). • Pandas, Numpy, Matplotlib, Scikit-Learn, R. • Modular Software Development.

Hi I am a professional AWS Python BigData Developer with an experience of 7 years. Have a good amount of hands-on knowledge on Pyspark and AWS services like Glue jobs, crawlers, Redshift, Athena, Lambda etc. I would be more than happy to work with you and your team on this engagement. Thanks

I have 1.5+ yr of experience in spark, scala, python, spark core, spark sql, functional programming, spark ml-lib, kafka. Currently I'm working on similar project that involves lot of data transformation and visualization in short the current project is an data engineering platform. Though i dont have experience in amazon aws but i have experience in Microsoft azure and if i know cosmos db , azure blob then i can even know also aws dynamo db. Please inbox me for more discussion.

Hi, I am an experienced Data Engineer with solid background in Spark. I have done many Big Data projects with Spark. Let's have a call for more details about the project. regards

Hello, I am currently working on two major Apache spark Projects.I have 3 years of hardcore experience on the big data stack. My profile summary is as follows: ·        Worked on configuring Data ingest with Apache SQOOP and FLUME into the target HDFS. ·        Having good exposure to Hadoop-2.0 version and Cloudera manager. ·        AWS Cloud implementation experience on EC2, EMR and S3. ·        Spark SQL with MySQL (JDBC) source ·        NoSQL Database (MongoDB) ·        Good Knowledge and experience on Python. ·        PySpark RDD Actions & Transformations. ·        Spark Architecture and Components: Spark Core & PySpark SQL with DataFrames ·        Flume+ Kafka Data Pipeline setup to process data using Spark Streaming into HDFS. ·        Hadoop High Level Languages: PIG, Hive. ·        Data Analysis using Spark Core & Spark SQL & Spark Streaming. ·        Implemented production recommender systems and big data pipelines leveraging Spark and the AWS cloud ·        Interacting with client and handling their queries and resolving issues. ·        Knowledge of end to end project work flow.

AWS glue expert here. AWS glue pySPARK programmer here. Can be done. AWS certified developer here indeed

AWS Certified Data Analytics Specialty, AWS Certified Solutions Architect - Associate and Google Cloud Certified Associate Cloud Engineer with hands-on experience working on a wide range of workloads from POCs to projects.