Home

Nithin Jalukuru - Mainframe Developer

[email protected]

Location: Springfield, Illinois, USA

Relocation:

Visa: F1

Nithin Sai Jalukuru SUMMARY Results-driven Mainframe Developer with a program-owner mindset and 5+ years designing high-throughput batch/online systems that are reliable, auditable, and scalable. Expert in COBOL, CICS, DB2, JCL, VSAM (KSDS/ESDS), GDGs; proficient with TWS for workload automation and predictable delivery. Integration specialist across SOAP/XML & REST, secure EDI/FTP via OpenText, and analytics enablement with Power BI/SSRS; practiced in observability, RCAs, and MTTR reduction. Operate in Agile environments with CI/CD, GitHub/GitLab PR workflows, protected branches. Problem researcher and continuous learner who maps legacy workflows and leads cross-functional execution with clear stakeholder communication SKILLS Programming Languages: COBOL, Java, SQL, JavaScript, Python, CSS. Databases: MySQL, PostgreSQL, IBM-DB2. Cloud: Google Cloud Platform (Looker, Big Query), Heroku, AWS (S3, EC2). Mainframe Tools: COBOL, Microfocus COBOL, DB2, DB2 LUW, CICS, JCL, PROC, VSAM, IDCAMS, ICETOOL, DFSORT, EZTrieve, Expeditor, Fault Analyzer, QMF, File Aid, File Manager, DITTO, XPF, Elixir Design Pro Tool Tools: Tableau/power BI, Excel, Eclipse, VS Code, Visual Studio, SSRS Schedulers: TWS, Control-M Version Control: ChangeMan, Git Operating System: Unix, Linux, MacOS, Z/OS (Mainframe) EXPERIENCE Application Programmer, MSR Technology Group LLC Sept 2023 Present Designed, developed, and maintained high-performance mainframe batch and CICS applications for the Illinois Secretary of State; served as the program owner for the SFR (Safety & Financial Responsibility) section for Drivers Division, accountable for roadmap, quality, and incident resolution leveraging COBOL, DB2, CICS, and JCL. Utilized AAMVA systems CDLIS, PDPS, SSOLV, UNI daily within ILSOS Driver Services to validate eligibility, verify identity, and process sanctions in a regulated environment. Increased operational efficiency 40% by consolidating fragmented reports into a unified analytics layer with standardized access and governed models (implemented on DB2 LUW). Enabled federal FMCSA Clearinghouse checks end-to-end by bridging mainframe workflows with external services through secure, event-driven handoffs (COBOL batch + Java REST API gateways). Partnered with multiple insurance companies to onboard and certify electronic SR22/26 filings leading test cycles, schema alignment, and go-live support to ensure timely, compliant submissions for high-risk policyholders. Eliminated SR22/26 FTP file-transfer failures by automating EDI schema validation, retries, restart logic, and partner alerts across OpenText account channels. Saved ~8 hrs/week of QA setup by delivering a one-click test-data refresh that reseeds 10 related tables while preserving referential integrity (via DB2 stored procedures). Cut driver record lookup time 30% by redesigning online flows and prefetch logic, routing hot reads through indexed access paths (optimized CICS screens). Drove predictable, on-time batch delivery by modeling dependencies, calendars, and SLAs with proactive alerting (enterprise orchestration on TWS). Reduced incident recovery time and change risk by standardizing runbooks, adding trace points, and tightening reviews (instrumented with Expeditor/Fault Analyzer/EDF). Increased data resiliency and audit traceability by selecting the right VSAM patterns indexed for hot lookups, sequential for bulk I/O and versioning critical datasets with GDGs. Lifted campaign effectiveness 25% by turning test-center operations into executive dashboards with clear KPIs and drill-downs (Power BI/SSRS on governed models). Shaped the executive-approved modernization roadmap by mapping end-to-end legacy workflows (Visio) and interfaces in partnership with McKinsey/BCG, de-risking migration phases. Assistant Systems Engineer (Analyst), TATA Consultancy Services, Hyderabad, India Sept 2020 Jan 2022 Maintained and enhanced COBOL and JCL batch programs for accounting and financial systems, supporting timely month-end and year-end processing with high accuracy. Delivered on-call production support, swiftly handling job failures using Expeditor, SDSF, File-AID, and Abend-AID, showcasing expertise in rapid debugging and issue resolution. Proactively monitored and managed critical production workflows using Z/OS Workload Scheduler (TWS) and Control-M, swiftly resolving issues to minimize downtime. Collaborated closely with QA and release management teams to perform regression testing and support deployment to production environments. Coordinated cross-functional teams via Teams and email during incidents and deployments, ensuring clear communication and rapid resolution during high-impact situations. Logged and tracked incidents through ServiceNow, managing L2/L3 support tickets, documenting resolutions, and providing root cause analysis for recurring production issues. Supported compliance and audit reviews by ensuring job schedules, failure resolutions, and production changes followed ITIL and enterprise support standards. Data Analyst, Adroit IT Solutions, Hyderabad, India June 2019 Sept 2020 Transitioned from a non-tech background, quickly learning COBOL, JCL, and DB2 to support data analysis and reporting. Wrote SQL queries in DB2 to extract and validate large datasets, supporting audits and compliance reports. Collaborated with developers to understand legacy code and translate it into meaningful data insights. Created Excel and QMF dashboards, laying the groundwork for future data science work with Python and Power BI. Began applying modern analytics skills to mainframe data, bridging legacy systems with data science practices. EDUCATION University at Buffalo, The State University of New York, Master s in Data Science Maintained a 4.0 GPA while completing relevant coursework in Probability and Statistics, Data Analysis, Data Mining (R programming Language), Databases (SQL), Machine Learning, Numerical Analysis, and Optimization techniques. JNTUH College of Engineering , Hyderabad, India Bachelor s and Master s in Mechanical Engineering and Specialization in Advanced Manufacturing Systems. RESEARCH PROJECTS Text Emotion Recognition with RoBERTa and Gradio Tech Stack : Tensorflow, Keras, Hugging face, LSTM , Github This initiative utilizes Hugging Face s RoBERTa model for real-time Emotion Recognition, enhanced by the Gradio library for an intuitive user interface. Users can input text and promptly receive emotion predictions, fostering a seamless user experience. Web application on NYC Collision Analysis Tech Stack :Python(Numpy,Pandas), Streamlit, PyDeck, Folium, GCP, BigQuery, SQL, Looker Studio,Heroku, Github Extracted NYC collision data (~ 2 Million Rows) from NYC Open Data and analysed it using GCP BigQuery SQL. Visualized the results with Looker Studio dashboards and built a web application with Streamlit to share the actionable insights,Forecasting Risk Gene discovery in Autism with Genome Scale Data. Tech Stack : R (Caret,dplyr, GGplot2, RandomForest, GBM, XGBoost, AdaBoost), RStudio Enhanced analysis of Brueggeman et al. s (2018) research paper on autism risk gene discovery by replicating and addressing methodology gaps. Compared Bagging and Boosting algorithms achieving 0.0027 training error and 84% AUC-ROC score . CERTIFICATIONS IBM Z Xplore Advanced IBM watsonx Code Assistant for Z Fundamentals Google Data Analytics Professional Certification PCEP-02 - Certified Python Programmer Volunteer Experience: Data Analyst at Community Dreams Foundatuion July 2023 - Sept 2023 Automated data collection and normalization with Python + Selenium ETL, improving analytics readiness. Increased data quality 25% and reduced errors 40% via rule-based validation and cleansing in Python. Delivered a GenAI chatbot using LangChain with Pinecone/Chroma for retrieval-augmented responses. Built a document-QA RAG pipeline with Hugging Face models and a Llama-2 Conversation Retrieval QA Chain. Designed partitioned, clustered BigQuery schemas for large-scale, cost-efficient analysis. Keywords: continuous integration continuous deployment quality analyst business intelligence sthree zos rlang information technology golang Alabama Delaware