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In the <em>News</em>

In the News

Latest company news, media coverage and partner updates by our team.

Siva Kalyan Karpurapu

A Certified Informatica Developer, Certified Data warehousing specialist, Informatica, Datastage, OBIEE, Pentaho BI etc.

Sarika Jagannath Nikam

I am a MSBI & IBM technology professional with strong experience in the area of data warehouses, queries and reports. I have worked on several projects like ERP, healthcare, CRM, banking & finance.

My technology expertise of more than 10 years includes Microsoft SQL technologies, E-commers, data governance, data warehousing, and IBM Cognos

Satish Chavan

Satish heads e-Zest US operations and has been with e-Zest since 2003. He leads our business development efforts and is instrumental in developing our customer relationships in North America.

Having played a pivotal role in conceptualization and development of multiple products and enterprise solutions for start-up & ISV customers, he brings with him a great understanding of product development & start-up ecosystem. His extensive knowledge and in-depth understanding of the nuances of product co-development enable e-Zest customers to successfully leverage its services.

Satish is a certified SCRUM Master and an avid agile practitioner. He has been instrumental in establishing the agile delivery model for distributed development based on transparency, highly disciplined agile and software engineering best practices.

Satish’s core area of interest lies in Digital Transformation, Business Strategy, Organization Development and mentoring technology startups.

He is a Graduate in Computer Science and has also pursued his Post Graduation in Management.

He spends his leisure time contributing to community causes and reading business & technology news. He enjoys writing blogs, driving and loves spending his free time with his family.

Abhishek Singh

Over 1.4 years of Total IT professional experience in Big data and data warehousing (ETL/ELT) technologies

includes requirements gathering, data analysis, design, development, system integration testing, deployments

and documentation.

● Research & develop Machine Learning models for Defense.

● Research Models for human detection in any climate circumstances.

● Provide SW specifications, production quality code and engage with algorithm proliferation activities

● Research and develop machine learning algorithms for drone night vision human detection.

● Hands on experience in solutions for Big data using Hadoop, HDFS, Map Reduce, Spark, PIG, Hive, Kafka, Sqoop,

Zoo keeper, Flume, Oozie.

● Excellent knowledge and hands on experience of Hadoop architecture and various components such as HDFS, Job

Tracker, Task Tracker, Name Node, data Node and Mapreduce programming paradigm and monitoring systems.

● Hands on experience in installing, configuring, and using Hadoop ecosystem components and management.

● Experience in importing and exporting data using Sqoop from HDFS/Hive to Relational database Systems and

vice - versa.

● Experienced and well versed in writing and using UDFs in both Hive and PIG using scala

● Excellent understanding with different storage concepts like block storage, object storage, column storage,

compression storage.

● Extensive experience in Extraction, Transformation <<>> Loading (ETL and ELT) data from various sources into

data Warehouses and data marts with industry best practices.

● Experience with Informatica ETL for data movement, applying data transformations and data loads.

● Good working experience with different Relational DB systems.

● Very good understanding with implementations in building data warehousing and data marts with OLTP vs OLAP,

star vs snowflake schema, normalization vs denormalization methods.

● Hands on experience in building wrapper shell scripts and analysis shell commands in practice.

● Supported various reporting teams and experience with data visualization tool Tableau.

● Very good at SQL, data analysis, unit testing, debugging data quality issues.

Sriram Bajrang Bulusu

Sriram Bajrang Bulusu is a data expert creating, architecting and implementing data analytics solutions and leveraging cloud capabilities to generate actionable insights out of data.

Data Engineering

data Engineering has become increasingly relevant in the highly-connected, AI driven world. Today, data architectures are as vast and varied as the use-cases they support. For most of us, data architecture simply meant running an RDBMS for all of our needs, from transactional read-write workloads to ad-hoc point and scan analytics loads. As data grew in numbers more use-cases for data-driven products such as fraud detection systems, recommender systems, personalization services came into existence.

data engineers entered the field to solve our problems by introducing specialized data stores for example; search engines, graph engines, large scale data processing such as Spark, NoSQL, stream processing and the machinery to glue them together like ETL pipelines, Kafka, Sqoop, Flume.

Tarun Agarwal

A technology leader with experience in delivering data-driven solutions, expertise to leverage data, analytics, and AI for digital transformation.

Ramesh Babu Vegi

Having around 7+ years of progressive experience in BI Industry spanning across product development & application development  with expertise in Oracle SQL, multiple ETL and ELT tools (Oracle Data Integrator, Oracle Warehouse Builder, Informatica)& Reporting Tool(OBIEE,Qlikview) and got trained on Tableau(Reporting) .

Data Science

The technology landscape for data science tools is huge and gets better day by day. Throw in big data, artificial intelligence and several more terms and you get a broader landscape of tools, libraries and frameworks. Dive deep into data science technologies, including Spark, TensorFlow, Jupyter Notebook etc. Under this focus area you will explore the use of analytics in the production environment particularly when creating data pipelines and deploying code.

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