Anuj Prakash

Data Engineer

Bengaluru, Karnataka, India4 yrs 9 mos experience

Key Highlights

Expert in designing scalable data pipelines.
Proven track record in real-time data integration.
Strong collaboration with cross-functional teams.

Stackforce AI infers this person is a Data Engineer specializing in SaaS and cloud-native data solutions.

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Skills

Core Skills

EtlPythonApiMulesoft

Other Skills

API ManagementAWS GlueAlgorithmsAmazon RedshiftAmazon Web Services (AWS)Anypoint MQApache AirflowApache SparkAstroAzure DatabricksCI/CDData StructuresDataWeaveDataweaveDocker

About

I'm a Data Engineer with 4+ years of experience designing and building scalable data pipelines, real-time integrations, and cloud-native workflows that support analytics, reporting, and machine learning initiatives. At Toast and Apisero, I’ve developed end-to-end ETL/ELT pipelines using Python, SQL, Apache Spark, Databricks, Airflow, and Azure Data Factory. My work spans both streaming and batch data processing using Apache Kafka and Delta Lake, enabling unified, timely insights across teams and platforms. I have experience integrating data from SaaS platforms like Salesforce, Zendesk, and NetSuite, building reverse ETL workflows, and implementing medallion architecture in cloud ecosystems like AWS and Azure. My focus is on reliability, performance, and clean data design to support downstream analytics and decision-making. I thrive on solving complex data problems, collaborating with cross-functional teams, and delivering scalable, production-ready data solutions that drive real-world impact. Skills & Tools: Python, SQL, Apache Spark, pySpark, Spark SQL, Databricks, Delta Lake, Airflow, Azure Data Factory, Kafka, Snowflake,AWS Redshift, Workato, Salesforce, Jenkins, GitHub

Experience

Toast

System Engineer 2

Oct 2023 – Present · 2 yrs 5 mos · Bengaluru, Karnataka, India · Hybrid

◦Created Workato-based ETL workflows that automated real-time data sync between SaaS platforms
and Snowflake, reducing manual reconciliation by 85%.
◦Developed API integrations across Salesforce, Five9, Zendesk, Medallia, and Intercom enabling centralized
analytics and improving the precision of the reporting by 90%.
◦Refactored Workato recipes by migrating logic to custom Ruby SDKs and eliminating redundant
steps, reducing task consumption and latency by up to 80%.
◦Wrote and enhanced complex SQL queries to streamline reporting pipelines, reducing query runtime by
40–60%.
◦Built robust Python ETL pipelines that transformed and ingested 25K+ transactional records/day
from CSV to Snowflake, enhancing data readiness for reporting by 70%.
◦Automated downstream Salesforce enrichment for customer case creation, reducing manual intervention by
90% and boosting data accuracy.
◦Designed ETL pipeline from Snowflake to Salesforce, reducing sync latency by 90%

WorkatoETLSQLPythonSalesforceSnowflake

Apisero inc.

2 roles

Senior Software Engineer

Promoted

Mar 2023 – Sep 2023 · 6 mos

◦Gained 2+ years of hands-on experience designing and building data integrations using MuleSoft
Anypoint Platform, including CloudHub, DataWeave, and API Management tools
◦Developed scalable RESTful and SOAP-based APIs to facilitate data exchange between enterprise
systems such as Salesforce, NetSuite and relational databases, supporting downstream analytics and
reporting
◦Executed complex data transformation logic using DataWeave, ensuring accurate, efficient, and reusable
data flows between disparate systems
◦Set up CI/CD pipelines (Jenkins, Maven, Git) for integration services, reducing deployment errors by
90% and increasing release frequency.
◦Collaborated with architects and analysts to deliver data flows, reducing project delivery time by 25%

MuleSoftDataWeaveCI/CDJenkinsAPI Management

Software Engineer

May 2021 – Mar 2023 · 1 yr 10 mos

Apisero is a Strategic MuleSoft and Salesforce Registered
Consulting Partner and the trusted source of platform solutions for commercial, mid-market, enterprise, and strategic customers. As a leading service provider and expert in API-led Connectivity and Enterprise Integration.