Ijaz Ahamed

Data Engineer with 4.6 years of experience

Talent

ChennaiMember since July 4, 2026

SQLPythonPySparkApache SparkHadoopAWS GlueApache AirflowAWS S3AWS LambdaAWS RedshiftAzure Data FactorySnowflakeETL/ELT PipelinesData IntegrationPower BIDAXPower QuerySalesforce CRMFlow BuilderProcess BuilderPandasNumPyAWS AthenaAWS SES

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SQLPythonPySparkApache SparkHadoop

About

Data Engineer with 4.6 years of experience building scalable, reliable data pipelines and analytics solutions for large-scale retail data ecosystems. Skilled in designing end-to-end data workflows — from ingestion to transformation to warehousing — using SQL, Python, PySpark, Apache Spark, and Hadoop for distributed processing. Strong expertise across AWS and Azure cloud data services (Glue, Lambda, S3, Step Functions, Data Factory, Data Lake, and Synapse) and Snowflake for cloud data warehousing and query optimization.

Adept at workflow orchestration with Apache Airflow, ensuring data quality through rigorous validation and reconciliation practices, and partnering with cross-functional teams to turn raw data into trusted, business-ready insights.

Experience

Data Operation Analyst at NIQ (NielsenIQ) (2022-03 – 2026-04)

Built scalable ETL/ELT pipelines with AWS Glue, PySpark, and Python, processing 50 million+ transaction records weekly and reducing pipeline latency by 30%, improving data availability for downstream analytics teams.
Developed Data Warehouse solutions with curated analytical layers for BI and reporting, applying Fact/Dimension modeling, Star Schema, and Snowflake Schema for analytical efficiency.
Orchestrated workflows via Apache Airflow, automating tasks with AWS Lambda and Step Functions; used AWS Glue for large-scale transformation, cataloging, and metadata management, with S3 as the central data lake.
Ensured data accuracy through validation, reconciliation, and integrity checks across system migrations; collaborated with stakeholders and engineering teams to deliver trusted, lineage-documented datasets with operational run books.
Optimized Snowflake performance and cost via warehouse sizing, query tuning, partitioning, and materialized views; built reusable, parameterized Azure Data Factory pipelines to accelerate new retail data integrations.

Trainee Engineer – Salesforce CRM Developer at Avasoft (2021-08 – 2022-02)

Customized and configured Salesforce CRM applications — including objects, fields, page layouts, record types, and validation rules — to meet evolving business requirements.
Built process automation using Flow Builder, Process Builder, and approval processes to streamline business operations and improve efficiency.
Partnered with business analysts and stakeholders to gather requirements and implement CRM enhancements, while preparing technical documentation, user guides, and configuration records for ongoing support.