Senior Data Engineer Data Modernization & BI Leadership

Ahsan Iqbal

Senior Data Engineer Big Data Engineer Data Engineer

**********@*****.*** 216-***-**** San Jose, CA 95800 SUMMARY

Innovative and performance-driven Data Engineering professional with 11+ years of experience designing scalable data architectures, optimizing pipelines, and delivering business intelligence solutions across cloud and hybrid environments. Proven expertise in Azure, Snowflake, Databricks, and Python, complemented by strong analytical and leadership skills. Adept at driving data modernization, enabling BI reporting, and collaborating cross-functionally to align data solutions with organizational strategy. Passionate about transforming raw data into actionable insights that power growth and informed decision-making. SKILLS

Data Pipeline Design & Automation (ETL/ELT)

• Azure Data Factory, Apache Airflow, dbt, Databricks Workflows

Event-Driven & Real-Time Data Processing

•Apache Kafka, Spark Streaming, Azure Event Hub,

AWS Kinesis

Database Optimization & Query Performance

Tuning

• SQL Server, Snowflake, PostgreSQL, Oracle, MySQL Transformation & Orchestration

• dbt (Data Build Tool), Apache Airflow, Azure Data Factory, Prefect

CI/CD & Version Control

•Azure DevOps, GitHub Actions, Jenkins, GitLab CI

Data Visualization & Storytelling

• Creating executive dashboards and visual narratives for data-driven decisions

Data Service Integrations

•Salesforce, Gainsight, HubSpot, Marketo, Customer Data Platforms (Segment, mParticle)

API-First & Microservices Architectures

•REST APIs, GraphQL, FastAPI, Flask, Azure

Functions

Cloud Data Architecture

•Microsoft Azure (Synapse, ADLS), AWS (S3, Glue,

Redshift), Google Cloud Platform (BigQuery,

Dataflow)

Data Modeling

•Star Schema, Snowflake Schema, Dimensional

Modeling, Data Vault

Big Data & Analytics Platforms

•Snowflake, Azure Databricks, Delta Lake, Azure

Synapse Analytics

Programming Languages

•Python (Pandas, PySpark, NumPy), SQL (Advanced

Querying, PL/SQL), Shell/Bash

Business Intelligence Tool

•Tableau, Power BI, Sisense, Looker

Statistical & Predictive Analysis

•Python (Scikit-learn, Stats-models), R (tidy-verse, ggplot2)

Infrastructure-as-Code

•Terraform, AWS CloudFormation, Azure Resource

Manager Templates

Cross-Functional Collaboration

• Partnering with Engineering, BI, Product, and Data Science teams on strategic initiatives

PROFESSIONAL EXPERIENCE

Staff Data Engineer, Innowise

• Architected cloud-native, event-driven data pipelines to support enterprise sales, marketing, and acquisition analytics.

• Designed API-first data services to unify customer data across CRM, CDP, and engagement systems, improving real-time decision capabilities. 07/2021 – Present

• Led implementation of CI/CD pipelines and infrastructure-as-code for data solutions, ensuring scalable and automated deployments.

•Built low-latency streaming and batch frameworks to enhance data accessibility while maintaining HIPAA and SOC2 compliance.

•Partnered with analytics and marketing teams to deliver high-quality data models driving campaign optimization and lead conversion insights.

• Established data observability and lineage frameworks to proactively detect, trace, and resolve anomalies across cloud environments.

•Participated in architecture governance and design reviews, influencing platform- wide data engineering standards.

Senior Data Engineer, Intellias

•Designed and implemented Snowflake star schemas supporting cross-functional BI and analytics modernization.

•Automated snapshot pipelines to capture historical business metrics for sales, onboarding, and customer success processes.

03/2019 – 04/2021

•Transformed manual reporting workflows into automated, production-grade pipelines for invoicing and operational data.

•Built Snowflake sync processes to replace legacy Sisense integrations, improving stability and scalability.

•Collaborated with BI and Platform teams to define data standards, transformation logic, and governance frameworks.

•Implemented data validation and sync monitoring across Salesforce, Gainsight, and Snowflake environments.

•Supported migration from Sisense to Tableau, ensuring continuity and improved performance in reporting workflows.

•Authored detailed technical documentation for pipelines, schema design, and operational ownership transfer.

Data Engineer, Algolia

•Developed and optimized ETL/ELT pipelines in Azure Databricks and Data Factory to support enterprise analytics needs.

•Designed and maintained Delta Lake architectures ensuring data accuracy, versioning, and high-performance querying.

02/2016 – 01/2019

•Automated CI/CD pipelines using Azure DevOps, improving release efficiency and deployment consistency.

•Monitored and tuned Databricks cluster performance, optimizing cost and compute utilization.

•Integrated Databricks with Azure Synapse, ADLS, and Data Factory, creating a unified data platform.

•Collaborated with governance teams to establish data security, cataloging, and access control using Unity Catalog.

•Performed root cause analysis and production support for mission-critical nightly data pipelines.

•Designed database schemas, views, and stored procedures to enhance analytical and reporting capabilities.

Data Analyst, Nexora Insights

•Created and maintained customized reports and dashboards to support client operations and internal business decisions.

•Analyzed sales, financial, and operational data to identify trends, performance gaps, and actionable insights.

03/2013 – 05/2015

•Partnered with stakeholders to define reporting requirements and ensure data accuracy and alignment with KPIs

•Automated recurring reporting processes, improving turnaround times and minimizing manual intervention.

•Performed data validation and QA/QC reviews to guarantee integrity and reliability before report delivery.

•Assisted in developing revenue and pricing models, providing analytical support for forecasting and planning.

•Recommended process and data collection improvements to enhance efficiency and reporting accuracy.

CERTIFICATES

Microsoft Certified: Azure Data Engineer Associate

(DP-203)

SnowPro Core Certification - Snowflake

Databricks Certified Data Engineer Professional

dbt Advanced Certification

PROJECTS

Cloud Data Platform Modernization, Overview: Led migration from legacy on-prem data warehouse to a cloud-native architecture using Snowflake and Azure Data Factory. Impact: Improved data processing efficiency by 60% and reduced reporting latency from hours to minutes. Enterprise Marketing & Sales Analytics Pipeline, Overview: Designed and implemented an end-to-end data pipeline to integrate Salesforce, Marketo, and customer engagement data into a unified analytics layer. Impact: Enabled real-time lead tracking, boosting campaign ROI visibility by 40% and driving data-driven marketing strategies.

BI Modernization & Reporting Automation, Overview: Replaced legacy Sisense dashboards with a modern Tableau reporting ecosystem underpinned by a Snowflake star schema and automated dbt transformations. Impact: Reduced manual reporting effort by 75% and improved data reliability and governance across departments.

EDUCATION

Bachelors in Computer Science

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