Vikash kumar Mahato profile photo 1 on Tal

Vikash kumar Mahato

Data Engineer | Analytics Engineer | Python | SQL | dbt | Airflow | Snowflake | ETL/ELT | Data Pipelines | Data Quality | Immediate Joiner

Kolkata

3+ years of work experience

Data Radian Technologies
Sep 20242 yrs 1 moPresent

Hyderabad

• Engineered and maintained 5–6 SQL/dbt ETL/ELT pipelines across 2–3 data sources, working with datasets containing 300M+ records for downstream BI reporting. • Enhanced 7–8 dbt models with transformation logic, business rules, and reusable Fact & Dimension models for retail and e-commerce analytics. • Reduced manual data-quality testing effort by 40% through a reusable dbt validation framework covering 7+ quality dimensions, including primary-key integrity, consistency, data types, timeliness, validity, and relationship integrity. • Improved pipeline reliability by 60–70% by resolving recurring production issues involving primary keys, data types, missing records, duplicate loads, incremental processing, and data-quality failures. • Reduced data-processing time from 1+ hour to approximately 10 minutes (~83% reduction) through improvements to SQL/dbt transformation workflows. • Validated 90%+ source-to-target data matching across Raw Vault, Business Vault, Fact, and Dimension models and supported daily/weekly dbt workflows and production troubleshooting.
Data Radian Technologies
Nov 202311 mosSep 2024

Hyderabad, Telangana, India

Teleperformance
Jun 20233 mosAug 2023

India

Teleperformance
Feb 20232 mosMar 2023

India

Vikash’s AI Stack

geminicli
geminicli
github copilot
github copilot
langchain
langchain
langgraph
langgraph
huggingface
huggingface
ChatGPT
ChatGPT

Education

haldia institute of technology

Bachelor of Technology - BTech, Chemical engineering

haldia institute of technology

20184 yrs2022
shree jain vidyalaya

High School/Secondary Certificate Programs

shree jain vidyalaya

20152 yrs2017

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Vikash kumar Mahato on Tal

Headline

Data Engineer | Analytics Engineer | Python | SQL | dbt | Airflow | Snowflake | ETL/ELT | Data Pipelines | Data Quality | Immediate Joiner

About

I’m a Data Engineer / Analytics Engineer with nearly 3 years of experience working across data engineering, analytics, and data quality, with a focus on building reliable pipelines and reporting-ready data. In my current role, I work with SQL, dbt, Python, data modeling, data-quality validation, and scheduled data workflows across retail and e-commerce datasets. Some of the work and outcomes I’ve delivered include: → Worked with datasets containing 300M+ records across 5–6 data pipelines and 2–3 data sources. → Enhanced 7–8 dbt models covering transformation logic, business rules, and Fact & Dimension modeling. → Reduced manual data-quality testing effort by 40% through reusable dbt validation covering 7+ quality dimensions. → Improved pipeline reliability by 60–70% by resolving recurring production issues across data types, primary keys, missing records, duplicate loads, and incremental processing. → Reduced data-processing time from 1+ hour to approximately 10 minutes through SQL/dbt workflow improvements. → Achieved 90%+ source-to-target data matching while validating incremental jobs for consistency and idempotent processing. → Supported reporting and data-quality analysis for 20+ stakeholders using Python, Tableau, and Streamlit. My current technical focus includes: Python | SQL | dbt | Apache Airflow | Snowflake | PostgreSQL | AWS S3 | GCP | ETL/ELT | Data Pipelines | CDC | Incremental Loading | Data Modeling | Data Warehousing | Data Quality | Docker | Git I’m currently looking for opportunities as a: Data Engineer | Junior Data Engineer | Analytics Engineer | ETL Developer I’m an Immediate Joiner and open to opportunities across India. If you're hiring for a Data Engineering role or know of a relevant opportunity, I’d be happy to connect.

Location

Kolkata

AI stack

geminicli

github copilot

langchain

langgraph

huggingface

ChatGPT

Work experience

Data Analyst at Data Radian Technologies, Sep 2024 - Present · 2 yrs 1 mo, Hyderabad, • Engineered and maintained 5–6 SQL/dbt ETL/ELT pipelines across 2–3 data sources, working with datasets containing 300M+ records for downstream BI reporting. • Enhanced 7–8 dbt models with transformation logic, business rules, and reusable Fact & Dimension models for retail and e-commerce analytics. • Reduced manual data-quality testing effort by 40% through a reusable dbt validation framework covering 7+ quality dimensions, including primary-key integrity, consistency, data types, timeliness, validity, and relationship integrity. • Improved pipeline reliability by 60–70% by resolving recurring production issues involving primary keys, data types, missing records, duplicate loads, incremental processing, and data-quality failures. • Reduced data-processing time from 1+ hour to approximately 10 minutes (~83% reduction) through improvements to SQL/dbt transformation workflows. • Validated 90%+ source-to-target data matching across Raw Vault, Business Vault, Fact, and Dimension models and supported daily/weekly dbt workflows and production troubleshooting.

Trainee Data Analyst at Data Radian Technologies, Nov 2023 - Sep 2024 · 11 mos, Hyderabad, Telangana, India

Technical Support Executive at Teleperformance, Jun 2023 - Aug 2023 · 3 mos, India

Technical Support Executive at Teleperformance, Feb 2023 - Mar 2023 · 2 mos, India

Education

Bachelor of Technology - BTech, Chemical engineering, haldia institute of technology

High School/Secondary Certificate Programs, shree jain vidyalaya

Public links

github: https://github.com/vikashkr09