Janak Tyagi

Data Engineer

Bengaluru, Karnataka, India4 yrs 10 mos experience

Highly Stable

Key Highlights

Expert in building scalable data pipelines for analytics.
Proficient in Azure cloud products and data engineering.
4x Microsoft Certified Data Engineer.

Stackforce AI infers this person is a Data Engineering expert in SaaS and cloud-based analytics solutions.

Contact

Skills

Core Skills

Data EngineeringAnalyticsSnowflakeData QualityData WarehousingAzure Data FactoryData PipelinesData Management

Other Skills

StagingTransformingLoadingData PlatformPySparkMicrosoft FabricData Build Tool (DBT)Medallion architectureData Quality ChecksDBTAPI Data IngestionReal-time DecisioningData CollectionPythonScala

About

- I create content to help people learn data engineering - Senior Data Engineer at Deloitte. - Staging, transforming and loading structured and semi structured data to build data platform for Analytics. - Build data models and data pipelines for Analytics. - Python - SQL - Azure cloud product suites Azure Synpase, Azure Data Factory,PySpark, SparkSQL, SQL Server - Pandas,Numpy - Data enthusiast.

Experience

4 yrs 10 mos

Total Experience

2 yrs 3 mos

Average Tenure

4 mos

Current Experience

Deloitte

Senior Data Engineer

Jan 2026 – Present · 4 mos · Bengaluru, Karnataka, India · On-site

StagingTransformingLoadingData PlatformAnalyticsData Engineering

Huron

Senior Data Engineer

Jul 2025 – Jan 2026 · 6 mos · Noida, Uttar Pradesh, India · Hybrid

Architected a metadata-driven PySpark pipeline for large-scale Excel ingestion (10–12 TB) into Microsoft Fabric Delta tables, enabling dynamic transformations via mapper logic and enforcing data quality checks using Great Expectations across all pipeline executions.
Built a Snowflake data warehouse with DBT for a construction client, ingesting API data via python request module and implementing SCD Type 2 for incremental loads, enabling AI engineers to identify machine failures and leakages.

PySparkMicrosoft FabricData Build Tool (DBT)SnowflakeMedallion architectureData Engineering

Capgemini

4 roles

Consultant

Jan 2025 – Jun 2025 · 5 mos

Designed and implemented scalable data solutions for real-time decisioning, reporting, and data collection, ensuring high availability and performance using Azure Data Factory.
Implemented Python, Scala, PySpark-based transformations to process high-volume data sets, achieving 80% faster processing speeds.
Collaborated cross-functionally with business objectives. data scientists, engineers, and business teams to align technical solutions with business objectives.

Azure Data FactoryReal-time DecisioningData CollectionPythonScalaPySpark+1

Associate Consultant

Promoted

Apr 2023 – Jan 2025 · 1 yr 9 mos

Built scalable data pipelines to ingest and transform 100+ TB of structured and unstructured data from Azure Data Lake and on-premises SQL Server using Azure Synapse, Databricks, and Azure Data Factory.
Developed and optimized SQL stored procedures to support analytics dashboards, enabling business users to make data driven decisions.
Integrated big data platforms with cloud services to support real-time data ingestion and reporting pipelines.
Ensured security and compliance of data storage using Azure Key Vault.

Azure Data LakeSQL ServerAzure SynapseDatabricksData PipelinesData Engineering