Abhishek Kumar Jha

Data Engineer

Noida, Uttar Pradesh, India7 yrs 2 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Expert in building scalable ETL pipelines for healthcare data.
Proven track record in AI/ML model validation and insights delivery.
Recognized for improving incident management and client satisfaction.

Stackforce AI infers this person is a Data Engineer specializing in Healthcare data solutions and AI/ML analytics.

Contact

Skills

Core Skills

EtlCloud ComputingAi/mlIncident ManagementData ScienceClient RelationsData AnalysisData MovementTechnical SupportApi Testing

Other Skills

Python (Programming Language)Extract, Transform, Load (ETL)SQLSparkCommunicationSingle Sign-On (SSO)SnowflakeMicrosoft ExcelRabbitMQManual TestingELT (Extract Load Transform)ArgocdRunDeckPostgreSQLCloud Storage

About

I am a Senior Data Engineer in operations working at Innovaccer which works on US healthcare. I have a Bachelor of Technology degree from Galgotias University, and I am passionate about solving complex problems related to data. I have experience in building AI/ML models, Batch/streaming data processing over GCP and Azure. I also worked on platform data movement and discrepancies in Data.ai I have multiple certifications in data Science and related expertise, and I am proficient in Data analysis, Building Models, Debugging and fixing bugs. I thrive on attention to detail and excel in collaborative team environments.

Experience

7 yrs 2 mos

Total Experience

1 yr 9 mos

Average Tenure

2 yrs

Current Experience

Innovaccer

Data Ops engineer-2

Jun 2024 – Present · 2 yrs · Noida, Uttar Pradesh, India · On-site

Build and manage end-to-end ETL pipelines on Azure, AWS, GCP, and DAP platforms for processing large-scale US healthcare data.
Manage cloud infrastructure (GCP/AWS/Azure) and resolve ETL pipeline dependencies, ensuring high availability and performance.
Skilled in DAP (in-house orchestration), leveraging Python, Spark, and SQL for flexible, modern ETL pipeline development.
Handle data integration requests, enabling seamless onboarding of new sources and accounts.
I designed, Built and implemented an AI-driven alert automation pipeline from scratch, improving incident management by reducing manual errors and preventing P0/P1 incidents over data deliveries.
Mentor and train junior engineers and associates, providing guidance on ETL best practices, cloud tooling, and operational excellence.

Python (Programming Language)Extract, Transform, Load (ETL)ETLCloud Computing

Data.ai

2 roles

Technical Lead

Promoted

Nov 2022 – Jun 2024 · 1 yr 7 mos · Remote

Promoted to Tech Lead within 7 months of joining, trusted to manage enterprise clients including Google, Meta, Tencent, and others.
Lead a global team of Solution & Analytics engineers, driving end-to-end delivery of app usage, downloads, revenue, and ad performance insights.
Partner with Data Science teams to validate AI/ML models, analyze outputs, and translate findings into actionable business insights, creating more bandwidth for R&D and innovation.
Oversee data quality, large-scale ETL pipelines, and Data Movement (Azure & GCP) to ensure reliable, scalable analytics solutions.
Collaborate with Product Managers and CSMs to deliver data-driven recommendations, directly impacting client growth, monetization strategies, and platform adoption.
Recognized for bridging the gap between technical execution and business outcomes, enabling faster decision-making and improved customer satisfaction.

CommunicationSingle Sign-On (SSO)Data ScienceClient Relations

Data Analyst

Nov 2022 – Mar 2024 · 1 yr 4 mos · Remote

Worked closely with clients and internal teams to resolve platform/data issues and ensure accurate metric reporting.
Analyzed app usage, downloads, ad performance, and revenue trends using SQL, Snowflake, Data.ai, and Tableau to deliver actionable insights.
Migrated datasets and pipelines to Azure and GCP, enabling scalable and reliable analytics.
Troubleshot SSO, API, and data access issues by analyzing logs in AWS CloudWatch and validating query outputs.
Partnered with Data Science teams to validate model outputs (usage, downloads, revenue) and ensure alignment with business methodologies.
Handled SDK integration and app signature analysis, improving visibility into app performance and adoption.
Utilized Python and Databricks for bulk API processing, automation, and large-scale data validation.
Mentored junior engineers and trained new hires on data analysis workflows, SDK handling, and product tools.

Python (Programming Language)SnowflakeData AnalysisData Movement

Fareye

2 roles

Senior Technical Solution Engineer

Promoted

Jun 2022 – Nov 2022 · 5 mos

Improved data reliability by analyzing order data and resolving ingestion anomalies, ensuring accurate downstream analytics.
Handling successful integration of client with our platform and required business level config change requests
Utilized New Relic, Kibana, and Grafana to proactively monitor system health, identify bottlenecks, and optimize API performance.
Conducted REST API testing (Postman), performed staging/UAT validations, and coordinated sprint deployments with detailed RCA documentation.
Recognized with the Blacknight Award for resolving critical large-scale routing issues that had direct business impact.
Acted as Major Service Representative (MSR) for clients, reporting incidents, tracking fixes, and ensuring timely communication.
Mentored junior engineers and created a knowledge base repository, reducing repeat issues and improving troubleshooting efficiency.

Microsoft ExcelRabbitMQTechnical SupportAPI Testing