Kanchan Palariya

Data Engineer

Amsterdam, North Holland, Netherlands15 yrs experience
Most Likely To SwitchHighly Stable

Key Highlights

  • 9 years of extensive experience in data technologies.
  • Proven track record in AWS migration and data architecture.
  • Recognized for exceptional contributions and performance.
Stackforce AI infers this person is a Data Engineer with expertise in cloud solutions and big data analytics.

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Skills

Core Skills

Data EngineeringAwsData Migration

Other Skills

PythonAWS GlueAWS LambdaRedshiftSQSCloud ComputingCloud: Amazon Web Services (AWS)Big data: HiveSqoopSparkHadoopMapReduceETL Pipelines - IBM Datastage/Talend Big Data/SnaplogicBusiness IntelligenceSQL/NoSQL Databases

About

Kanchan is a Data All-Rounder with unique blend of experience in multitude of Data related technologies. He is a Big Data Analytics, Data Lake/Warehousing, SQL/NoSQL Databases, ETL practitioner with Extensive Technical & Leading Experience of 9 years in building data intensive applications, tackling challenging architectural and scalability problems. Worked with fortune companies like IBM, Accenture, DXC Technology, Deloitte Consulting. Kanchan is sincere, responsible & committed professional with excellent reasoning, analytical, communication & interpersonal skills.He is adaptable, quick learner with demonstrated ability to produce exceptional results. Throughout his work tenure he has achieved various awards & appreciations for his valuable contribution & excellent performance. Competency Areas: • Cloud Computing • Cloud: Amazon Web Services (AWS), Google Cloud • Big data: Hive, Sqoop, Spark, Hadoop, MapReduce, etc • Programming skills: SQL, Python • ETL Pipelines - IBM Datastage/Talend Big Data/Snaplogic • Business Intelligence • SQL/NoSQL Databases • Data Lake/Data Warehouse • Data analysis Soft skills - • Team work • Communication • Adaptability • Work ethic • Problem-solving

Experience

15 yrs
Total Experience
2 yrs 6 mos
Average Tenure
4 yrs 6 mos
Current Experience

Ing nederland

Senior cloud engineer

Nov 2025Present · 5 mos · Amsterdam, North Holland, Netherlands · Hybrid

Amazon web services (aws)

Senior Data Engineer

Oct 2021Present · 4 yrs 6 mos · Amsterdam

Data Engineering

Optum

Business Solutions Manager

Sep 2020Sep 2021 · 1 yr · Noida, Uttar Pradesh, India

Freelancer

Freelance Consultant

Aug 2020Sep 2020 · 1 mo

Deloitte india (offices of the us)

Senior Consultant

Jul 2018Jul 2020 · 2 yrs · Gurgaon, India

  • Service Line: Analytics and Cognitive
  • Client Description:
  • Client is an American mass media corporation. The company has also been involved in internet radio and podcasting via the digital platform available across more than 250 platforms and 2,000 devices including smart speakers, digital auto dashes, tablets, wearables, smartphones, virtual assistants, TVs and gaming consoles. Clients want to retire their GCP bigdata platform and go live on AWS, RE-MODERNIZE.
  • Role: Tech Specialist/ Individual contributor
  • Key Responsibilities:
  • Perform Code analysis on Airflow DAG and migrate same to AWS framework compatible code by making use of python, docker, AWS Glue, Redshift, Lambda, SQS.
  • Conduct due diligence to keep intact functionality of existing code while migrating to AWS
  • Provide coding standard checklist to team (i.e. pylint, isort, black, bandit, flake, radon, pyflakes)
  • Utilize AWS equivalent services w.r.t to GCP while migrating (i.e. S3, SQS, lambda, step function, CloudWatch, glue, Athena, Redshift, ECS, SSM, Secret Manager, CFT, Code Pipeline)
  • Understand and enhance DevOps pipeline to deploy code to higher environment (DevOps tool used – Sceptre)
  • Use GIT for version control and deployment.
  • Client Description:
  • Client was Japanese multinational automotive manufacturer headquartered in Japan. Clients want to become a data exchange player in coming year and wanted Deloitte to build a road map to accomplish.
  • Key Responsibilities:
  • ⦁ Perform analysis on the Data Exchange players across the Use Cases and other Data Exchange players in the market for each target sectors to identify common capabilities
  • ⦁ Conduct due diligence to identify feature offered by each DX player in the market
  • ⦁ Built conceptual architecture diagram with all the futuristic capabilities.
  • ⦁ Worked on preparing sector agnostic technical architecture compatible with both AWS and Azure.

Accenture

Application Development Specialist

Aug 2015Jun 2018 · 2 yrs 10 mos · Bengaluru Area, India

  • ETL Developer and Hadoop Developer has a strong background with file distribution systems in a big-data arena. Understands the complex processing needs of big data and has experience developing codes and modules to address those needs.
  • Good experience with Sqoop, Oozie, HBase and Hive.
  • Solid understanding of the Hadoop file distributing system
  • Capable of processing large sets of structured, semi-structured and unstructured data and supporting systems application architecture.
  • In-depth understanding of Map-Reduce and the Hadoop Infrastructure
  • Developed ETL Jobs, perform Unit Testing and Performance Tuning

Csc - computer sciences corporation

Consultant

Jan 2015Aug 2015 · 7 mos · Bengaluru Area, India

  • Work with Data Modeller’s and Business Analyst to understand Mapping and Business needs.
  • Creating Technical Specification Document based on the provided Mapping document.
  • Developing ETL Jobs , perform Unit Testing.
  • Analyzing the Data Issues raised by business report users and performing code fix if required.
  • Supporting System Integration Testing and User Acceptance Testing for resolving defects.
  • Tuned the Datastage jobs for better performance.

Ibm india pvt ltd

Technical Analyst

Nov 2010Dec 2014 · 4 yrs 1 mo

  • Working on Cognos Tools like–Cognos (8.4), Cognos (10) (Report Studio, Analysis Studio, Framework Manager)
  • Knowledge of Data Stage client tools v7.5 and v8.1 - Data Stage Designer, Data Stage Manager, and Data Stage Director.
  • Involved in Developing Reports using Report Studio and Query Studio as per the business requirements.
  • Created different kinds of reports including List, Cross-tab, Charts, Conditional Block, Prompts.
  • Scheduling and distributing reports through schedule management in Cognos Connection.
  • Good knowledge of PL/SQL, DB2 and UNIX
  • Experience and expertise in understanding existing business processes, data analysis requirements, business systems analysis and design, converting requirements specifications into functional specifications
  • Ensuring SLA management for the process.

Education

UTTARANCHAL UNIVERSITY, DEHRADUN

Bachelor of Technology (B.Tech.) — Computer Software Engineering

Jan 2006Jan 2010

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